MétaCan
Menu
Back to cohort
Record W4237366934 · doi:10.1136/rapm-2020-101932

Editors’ commentary

2020· letter· en· W4237366934 on OpenAlexaff
Brian D. Sites, Chad M. Brummett, Asokumar Buvanendran, Xavier Capdevila, Steven P. Cohen, Yun Guan, Spencer Liu, Stavros G. Memtsoudis, Anahi Perlas, De Q.H. Tran, Christopher L. Wu

Bibliographic record

VenueRegional Anesthesia & Pain Medicine · 2020
Typeletter
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsMcGill UniversityToronto Western Hospital
Fundersnot available
KeywordsMedicinePain medicineRelevance (law)Medical physicsAnesthesiaAnesthesiology

Abstract

fetched live from OpenAlex

Recently, Regional Anesthesia & Pain Medicine (RAPM) created a set of guiding principles on which our reviews and decisions are based.[1][1] These principles are based on an assessment of a study’s validity, relevance, effect size and precision. Additionally, the editorial board at RAPM has the

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)0.013
metaresearch head score (Gemma)0.089
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.982
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.089
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.002
Science and technology studies0.0060.004
Scholarly communication0.0070.006
Open science0.0060.003
Research integrity0.0510.039
Insufficient payload (model declined to judge)0.0180.020

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 head0.027
GPT teacher head0.262
Teacher spread0.235 · 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
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueRegional Anesthesia & Pain MedicineSame topicCardiac, Anesthesia and Surgical OutcomesFrench-language works237,207