Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:39324540

Automated High-Throughput Biological Sex Identification from Archeological Human Dental Enamel Using Targeted Proteomics.

Claire Koenig · Patricia Bortel · Ryan S Paterson · Barbara Rendl · Palesa P Madupe · Gaudry B Troché · Nuno Vibe Hermann · Marina Martínez de Pinillos · María Martinón-Torres · Sandra Mularczyk · Marie Louise Schjellerup Jørkov · Christopher Gerner · Fabian Kanz · Ana Martinez-Val · Enrico Cappellini · Jesper V Olsen

Journal of proteome research · 2024 doi:10.1021/acs.jproteome.4c00557

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:39324540
kind
science-record
content_hash
sha256:6dd86ee947ed581c557b361052efe02febf112eee09d6e33a70ae6db4c0a3811
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:29:30Z
updated_at
2026-11-01T21:33:59Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Automated High-Throughput Biological Sex Identification from Archeological Human Dental Enamel Using Targeted Proteomics.
doi
10.1021/acs.jproteome.4c00557
pmid
39324540
authors array · 16 items
[0]
Claire Koenig
[1]
Patricia Bortel
[2]
Ryan S Paterson
[3]
Barbara Rendl
[4]
Palesa P Madupe
[5]
Gaudry B Troché
[6]
Nuno Vibe Hermann
[7]
Marina Martínez de Pinillos
[8]
María Martinón-Torres
[9]
Sandra Mularczyk
[10]
Marie Louise Schjellerup Jørkov
[11]
Christopher Gerner
[12]
Fabian Kanz
[13]
Ana Martinez-Val
[14]
Enrico Cappellini
[15]
Jesper V Olsen
journal
Journal of proteome research
year
2024
abstract
Biological sex is key information for archeological and forensic studies, which can be determined by proteomics. However, the lack of a standardized approach for fast and accurate sex identification currently limits the reach of proteomics applications. Here, we introduce a streamlined mass spectrometry (MS)-based workflow for the determination of biological sex using human dental enamel. Our approach builds on a minimally invasive sampling strategy by acid etching, a rapid online liquid chromatography (LC) gradient coupled to a high-resolution parallel reaction monitoring (PRM) assay allowing for a throughput of 200 samples per day (SPD) with high quantitative performance enabling confident identification of both males and females. Additionally, we developed a streamlined data analysis pipeline and integrated it into a Shiny interface for ease of use. The method was first developed and optimized using modern teeth and then validated in an independent set of deciduous teeth of known sex. Finally, the assay was successfully applied to archeological material, enabling the analysis of over 300 individuals. We demonstrate unprecedented performance and scalability, speeding up MS analysis by 10-fold compared to conventional proteomics-based sex identification methods. This work paves the way for large-scale archeological or forensic studies enabling the investigation of entire populations rather than focusing on individual high-profile specimens. Data are available via ProteomeXchange with the identifier PXD049326.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The AMELY/AMELX intensity relationship is modeled by (1) generating a linear regression based on the prior male identifications from the data set studied or by (2) using a predefined model based on the analysis of modern material generated in this study.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39324540
locator
sections[14] "PRM Data Analysis" paragraph 2
quote
The AMELY/AMELX intensity relationship is modeled by (1) generating a linear regression based on the prior male identifications from the data set studied or by (2) using a predefined model based on the analysis of modern material generated in this study.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39324540
locator
sections[25] "Data Availability Statement" paragraph 2
quote
The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Reassuringly, 19 of 20 samples accounting for 95% of the samples from the validation cohort could accurately be assigned to their respective biological sex.
kind
quantitative
target object · 4 fields
value
95
unit
per cent
tolerance
null
source
Reassuringly, 19 of 20 samples accounting for 95% of the samples from the validation cohort could accurately be assigned to their respective biological sex (Figure 4A).
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39324540
locator
sections[19] "Use of a Validation Cohort for Assessing the Performance of the PRM-Based Assay" paragraph 3
quote
Reassuringly, 19 of 20 samples accounting for 95% of the samples from the validation cohort could accurately be assigned to their respective biological sex (Figure 4A).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Reassuringly, 19 of 20 samples accounting for 95% of the samples from the validation cohort could accurately be assigned to their respective biological sex.
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:39324540
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:PXD049326
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:PXD049326
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:39324540
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1021/acs.jproteome.4c00557
sha256
sha256:63fd0c172300fedf8ad15f026d6072b713e53bf9e3b83e2ea1a1743e61e13280
bytes
80174
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1021/acs.jproteome.4c00557
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC11536428
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:PXD049326
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=PXD049326
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
PXD049326
version
null
note
The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326.
access_statement_kind
data_availability_statement
sample_accessions array · 0 items
sample_count
null
group_sizes
null
group_sizes_basis
null
platform
null
taxon
null
title
Automated high-throughput biological sex identification from archaeological human dental enamel using targeted proteomics
resolution_checked_at
2026-11-01T20:16:17Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:PXD049326 not downloaded
[1]
asset:data:geo:PXD049326 licence not read
analysis object · 4 fields
state
complete
methods array · 1 item
[0] object · 10 fields
id
method-1
family
regression_modelling
specific
ols
label
Regression modelling
dsl_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
1
band
verbatim
quote
The AMELY/AMELX intensity relationship is modeled by (1) generating a linear regression based on the prior male identifications from the data set studied or by (2) using a predefined model based on the analysis of modern material generated in this study.
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
ols_fit
unit
per cent
tolerance
null
state
complete
note
The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ols.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
PXD049326
resolved_accessions array · 1 item
[0]
PXD049326
statements array · 1 item
[0]
The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326.
basis
The paper names PXD049326 in ProteomeXchange Consortium and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
ols_fit
assets array · 2 items
[0]
source:pmid:39324540
[1]
data:geo:PXD049326
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:PXD049326
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T19:33:10Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
22466
completion_tokens
1212
cached_tokens
128
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:39324540
type
paper
label
pmid:39324540
[1] object · 3 fields
id
source:pmid:39324540
type
manuscript
label
PMID 39324540 full text
[2] object · 3 fields
id
data:geo:PXD049326
type
dataset
label
GEO PXD049326
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:39324540
type
paper
label
pmid:39324540
[1] object · 3 fields
id
source:pmid:39324540
type
manuscript
label
PMID 39324540 full text
[2] object · 3 fields
id
data:geo:PXD049326
type
dataset
label
GEO PXD049326
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-39324540
type
extraction
used array · 1 item
[0]
source:pmid:39324540
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-PXD049326
type
accession_resolution
used array · 1 item
[0]
data:geo:PXD049326
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:39324540
parent_hash
sha256:9ec7655c707717e74240d24cfa498b17567343806669ad218fbf5897cecd5eca
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:PXD049326 licence not read
[1]
asset:data:geo:PXD049326 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
mass_spectrometry
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
eological Human Dental Enamel Using Targeted Proteomics.
[1]
identification currently limits the reach of proteomics applications. Here, we introduce a streamlin
[2]
analysis by 10-fold compared to conventional proteomics-based sex identification methods. This work
[3]
Region in Southern Jordan were collected for proteomics analysis. 315 archeological samples originat
order_basis
paper_text_order:65
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
regression_modelling
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
ols_fit
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The AMELY/AMELX intensity relationship is modeled by (1) generating a linear regression based on the prior male identifications from the data set studied or by (2) using a predefined model based on the analysis of modern material generated in this study.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39324540", "kind": "science-record", "revision": 2, "content_hash": "sha256:6dd86ee947ed581c557b361052efe02febf112eee09d6e33a70ae6db4c0a3811", "created_at": "2026-11-01T20:29:30Z", "updated_at": "2026-11-01T21:33:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Automated High-Throughput Biological Sex Identification from Archeological Human Dental Enamel Using Targeted Proteomics.", "doi": "10.1021/acs.jproteome.4c00557", "pmid": "39324540", "authors": ["Claire Koenig", "Patricia Bortel", "Ryan S Paterson", "Barbara Rendl", "Palesa P Madupe", "Gaudry B Troché", "Nuno Vibe Hermann", "Marina Martínez de Pinillos", "María Martinón-Torres", "Sandra Mularczyk", "Marie Louise Schjellerup Jørkov", "Christopher Gerner", "Fabian Kanz", "Ana Martinez-Val", "Enrico Cappellini", "Jesper V Olsen"], "journal": "Journal of proteome research", "year": 2024, "abstract": "Biological sex is key information for archeological and forensic studies, which can be determined by proteomics. However, the lack of a standardized approach for fast and accurate sex identification currently limits the reach of proteomics applications. Here, we introduce a streamlined mass spectrometry (MS)-based workflow for the determination of biological sex using human dental enamel. Our approach builds on a minimally invasive sampling strategy by acid etching, a rapid online liquid chromatography (LC) gradient coupled to a high-resolution parallel reaction monitoring (PRM) assay allowing for a throughput of 200 samples per day (SPD) with high quantitative performance enabling confident identification of both males and females. Additionally, we developed a streamlined data analysis pipeline and integrated it into a Shiny interface for ease of use. The method was first developed and optimized using modern teeth and then validated in an independent set of deciduous teeth of known sex. Finally, the assay was successfully applied to archeological material, enabling the analysis of over 300 individuals. We demonstrate unprecedented performance and scalability, speeding up MS analysis by 10-fold compared to conventional proteomics-based sex identification methods. This work paves the way for large-scale archeological or forensic studies enabling the investigation of entire populations rather than focusing on individual high-profile specimens. Data are available via ProteomeXchange with the identifier PXD049326.", "claims": [{"id": "claim-method", "statement": "The AMELY/AMELX intensity relationship is modeled by (1) generating a linear regression based on the prior male identifications from the data set studied or by (2) using a predefined model based on the analysis of modern material generated in this study.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39324540", "locator": "sections[14] \"PRM Data Analysis\" paragraph 2", "quote": "The AMELY/AMELX intensity relationship is modeled by (1) generating a linear regression based on the prior male identifications from the data set studied or by (2) using a predefined model based on the analysis of modern material generated in this study."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39324540", "locator": "sections[25] \"Data Availability Statement\" paragraph 2", "quote": "The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Reassuringly, 19 of 20 samples accounting for 95% of the samples from the validation cohort could accurately be assigned to their respective biological sex.", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Reassuringly, 19 of 20 samples accounting for 95% of the samples from the validation cohort could accurately be assigned to their respective biological sex (Figure 4A)."}, "evidence": [{"asset": "source:pmid:39324540", "locator": "sections[19] \"Use of a Validation Cohort for Assessing the Performance of the PRM-Based Assay\" paragraph 3", "quote": "Reassuringly, 19 of 20 samples accounting for 95% of the samples from the validation cohort could accurately be assigned to their respective biological sex (Figure 4A)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Reassuringly, 19 of 20 samples accounting for 95% of the samples from the validation cohort could accurately be assigned to their respective biological sex.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:39324540"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:PXD049326"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:PXD049326"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39324540", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1021/acs.jproteome.4c00557", "sha256": "sha256:63fd0c172300fedf8ad15f026d6072b713e53bf9e3b83e2ea1a1743e61e13280", "bytes": 80174, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1021/acs.jproteome.4c00557", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11536428", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:PXD049326", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=PXD049326", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "PXD049326", "version": null, "note": "The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326.", "access_statement_kind": "data_availability_statement", "sample_accessions": [], "sample_count": null, "group_sizes": null, "group_sizes_basis": null, "platform": null, "taxon": null, "title": "Automated high-throughput biological sex identification from archaeological human dental enamel using targeted proteomics", "resolution_checked_at": "2026-11-01T20:16:17Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:PXD049326 not downloaded", "asset:data:geo:PXD049326 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "regression_modelling", "specific": "ols", "label": "Regression modelling", "dsl_operations": ["ols_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The AMELY/AMELX intensity relationship is modeled by (1) generating a linear regression based on the prior male identifications from the data set studied or by (2) using a predefined model based on the analysis of modern material generated in this study."}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "ols_fit", "expected_value": 95.0, "unit": "per cent", "tolerance": null, "state": "complete", "note": "The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none."}], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["ols_fit"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ols."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["PXD049326"], "resolved_accessions": ["PXD049326"], "statements": ["The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository72 with the data set identifier PXD049326."], "basis": "The paper names PXD049326 in ProteomeXchange Consortium and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["ols_fit"], "assets": ["source:pmid:39324540", "data:geo:PXD049326"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:PXD049326"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:33:10Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 22466, "completion_tokens": 1212, "cached_tokens": 128}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:39324540", "type": "paper", "label": "pmid:39324540"}, {"id": "source:pmid:39324540", "type": "manuscript", "label": "PMID 39324540 full text"}, {"id": "data:geo:PXD049326", "type": "dataset", "label": "GEO PXD049326"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:39324540", "type": "paper", "label": "pmid:39324540"}, {"id": "source:pmid:39324540", "type": "manuscript", "label": "PMID 39324540 full text"}, {"id": "data:geo:PXD049326", "type": "dataset", "label": "GEO PXD049326"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-39324540", "type": "extraction", "used": ["source:pmid:39324540"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-PXD049326", "type": "accession_resolution", "used": ["data:geo:PXD049326"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:39324540", "parent_hash": "sha256:9ec7655c707717e74240d24cfa498b17567343806669ad218fbf5897cecd5eca", "fork_of": null, "generation": 1}, "gaps": ["asset:data:geo:PXD049326 licence not read", "asset:data:geo:PXD049326 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "mass_spectrometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["eological Human Dental Enamel Using Targeted Proteomics.", "identification currently limits the reach of proteomics applications. Here, we introduce a streamlin", "analysis by 10-fold compared to conventional proteomics-based sex identification methods. This work", "Region in Southern Jordan were collected for proteomics analysis. 315 archeological samples originat"], "order_basis": "paper_text_order:65", "id": "assay:1"}, {"role": "analysis", "definition_id": "regression_modelling", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["ols_fit"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The AMELY/AMELX intensity relationship is modeled by (1) generating a linear regression based on the prior male identifications from the data set studied or by (2) using a predefined model based on the analysis of modern material generated in this study."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}