MétaCan
Menu
Back to cohort
Record W4404840170 · doi:10.32920/27926445

In Reply to Boucharel

2024· preprint· en· W4404840170 on OpenAlexaff
Michael Gottlieb, Sara Krzyzaniak, Teresa M. Chan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicHealthcare Systems and Challenges
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

[para. 1]: "We thank Dr. Boucharel for her comments on our article. We agree that no single faculty development system functions well without fulsome institutional support. Although programs like the Academic Life in Emergency Medicine Faculty Incubator may increase collaboration, shared learning, and scholarship, it is essential that this endeavor be combined with more systemic efforts aimed at valuing clinician–educators—beyond merely publications."

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)0.010
metaresearch head score (Gemma)0.092
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 score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.092
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0060.010
Open science0.0040.004
Research integrity0.0300.065
Insufficient payload (model declined to judge)0.0180.017

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 head0.188
GPT teacher head0.532
Teacher spread0.344 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicHealthcare Systems and ChallengesFrench-language works237,207