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Record W2137575882 · doi:10.1155/2004/579363

Advancement of Biomarker Discovery and Validation through the HUPO Plasma Proteome Project

2004· article· en· W2137575882 on OpenAlexfundno aff
Gilbert S. Omenn

Bibliographic record

VenueDisease Markers · 2004
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute on AgingAbbott FundBristol-Myers Squibb CanadaNational Institute of Environmental Health SciencesUniversity of MichiganNational Institutes of HealthMichigan Economic Development CorporationProcter and GambleNational Cancer InstituteNational Institute on Alcohol Abuse and AlcoholismJohnson Family FoundationBristol-Myers SquibbNovartisPfizer
KeywordsBiomarkerProteomeBiomarker discoveryComputational biologyData scienceLibrary scienceProteomicsPolitical scienceBioinformaticsBiologyComputer scienceGenetics

Abstract

fetched live from OpenAlex

The Human Proteome Organization (HUPO) Plasma Proteome Project has mounted a Pilot Phase focussed on key problems essential for standardization of specimen collection, specimen handling, choice of fractionation and analysis technologies, and search engines and databases for protein identifications. This international collaboration will lay the groundwork for many large-scale clinical and epidemiological studies of health and disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.029
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.291
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations43
Published2004
Admission routes1
Has abstractyes

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