MétaCan
Menu
Back to cohort
Record W4240578757 · doi:10.1139/cjpp-2015-0043

Part 1 (February 2015 issue) / Partie 1 (numéro février 2015)

2015· article· fr· W4240578757 on OpenAlexvenueno aff
Philippe Delmotte, Gary C. Sieck, Jeremy Hernandez, Luke Janssen, Elizabeth R. Vogel, Rodney D. Britt, Mari Charisse Trinidad, Arij Faksh, Richard J. Martin, Peter MacFarlane, Christina M. Pabelick, Y. S. Prakash, Wenwu Zhang, Youliang Huang, Yidi Wu, Susan J. Gunst, Christopher D. Pascoe, Nicholas E. Swyngedouw, Chun Y. Seow, Peter D. Paré, Alonso Guedes, Deepak A. Deshpande, Mythili Dileepan, Timothy F. Walseth, Reynold Panettieri, Subbaya Subramanian, Mathur Kannan

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicLegal case studies and regulations
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsInternal medicineMedicine

Abstract

fetched live from OpenAlex

The importance

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)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.863
Threshold uncertainty score0.460

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.005
Science and technology studies0.0040.002
Scholarly communication0.0120.003
Open science0.0020.003
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.1370.056

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 head0.040
GPT teacher head0.338
Teacher spread0.298 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and PharmacologySame topicLegal case studies and regulationsFrench-language works237,207