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Record W4247591069 · doi:10.1503/cmaj.114-0005

Atlantic Canada being served for cancer genotyping

2014· article· en· W4247591069 on OpenAlexaffvenueabout
Bongkyoo Scd, Marnie Dobson, Sangbaek Ko, Paul Landsbergis, Jonathan Fuller Bmsc, Ross Upshur, Maya J. Goldenberg

Bibliographic record

VenueCanadian Medical Association Journal · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsHealth Sciences CentreUniversity of GuelphSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsGenotypingCancerComputer scienceWorld Wide WebData scienceMedicineBiologyGenotypeInternal medicineGenetics

Abstract

fetched live from OpenAlex

A news story that appeared in the Oct. 1, 2013, issue of CMAJ incorrectly stated that Atlantic Canada has no facility to test for crucial genetic mutations that could improve some patients’ treatment options. In fact, a Halifax-based screening program was launched in September 2012 and has

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)0.008
metaresearch head score (Gemma)0.021
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 score0.965
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0130.003
Scholarly communication0.0060.003
Open science0.0020.003
Research integrity0.0150.018
Insufficient payload (model declined to judge)0.0380.014

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 head0.004
GPT teacher head0.214
Teacher spread0.210 · 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

Citations3
Published2014
Admission routes3
Has abstractyes

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