MétaCan
Menu
Back to cohort
Record W2940809293 · doi:10.1001/jamaoto.2019.0521

Use of Clinical Trial Registries in Otolaryngology Systematic Reviews

2019· article· en· W2940809293 on OpenAlexfundno aff
Kaleb Fuller, Wade Arthur, Jonathan Riddle, Matt Vassar

Bibliographic record

VenueJAMA Otolaryngology–Head & Neck Surgery · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
FundersGovernment of OntarioOntario Ministry of Health and Long-Term CareOntario Institute for Cancer ResearchInstitute for Clinical Evaluative SciencesCancer Care Ontario
KeywordsSystematic reviewOtorhinolaryngologyClinical trialMedicineMedical physicsMEDLINEAlternative medicineFamily medicineSurgeryPathology

Abstract

fetched live from OpenAlex

This study examines the use of clinical trial registries in systematic reviews published in the top otolaryngology journals and evaluates whether additional studies could have been located for systematic reviews that omitted clinical trial registry searches.

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)0.786
metaresearch head score (Gemma)0.948
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.214
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.7860.948
Meta-epidemiology (narrow)0.0030.006
Meta-epidemiology (broad)0.0130.013
Bibliometrics0.0620.072
Science and technology studies0.0030.005
Scholarly communication0.0160.020
Open science0.0060.016
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.340
GPT teacher head0.476
Teacher spread0.136 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainReporting
GenreEmpirical

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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJAMA Otolaryngology–Head & Neck SurgerySame topicDelphi Technique in ResearchFrench-language works237,207