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Record W1987552164 · doi:10.1056/nejmp0707422

p53 — Master and Commander

2007· letter· en· W1987552164 on OpenAlexaff
William D. Foulkes

Bibliographic record

VenueNew England Journal of Medicine · 2007
Typeletter
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsPhosphoproteinSomatic cellGeneMedicineCancer researchComputational biologyGeneticsBioinformaticsBiology

Abstract

fetched live from OpenAlex

The gene known variously as p53, TP53, and Trp53 is currently featured in nearly 45,000 published articles listed in PubMed — a remarkable number suggesting that the protein product of this gene, p53, is one of the most important molecules in biology. When it was discovered in 1979, the p53 phosphoprotein (molecular mass, 53 kD) was postulated to have “a crucial role in the modulation of the transformed state.”1 This idea has found support in innumerable studies, including the one reported on by Poeta et al. in this issue of the Journal (pages 2552–2561), in which somatic mutations in TP53 . . .

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)0.002
metaresearch head score (Gemma)0.010
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0120.022
Insufficient payload (model declined to judge)0.0040.005

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 head0.035
GPT teacher head0.276
Teacher spread0.241 · 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
GenreCommentary

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

Citations31
Published2007
Admission routes1
Has abstractyes

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