MétaCan
Menu
Back to cohort

THE COST-EFFECTIVENESS OF ALTERNATIVE STRATEGIES TO MANAGE PATIENTS WITH UNINVESTIGATED DYSPEPSIA: COMPARING THE CANDYS APPROACH TO ANTISECRETORY THERAPY AND PROMPT ENDOSCOPY

2003· article· en· W4238913693 on OpenAlexaff
Alan Barkun, Ralph Crott, Carlo A Fallone, Wendy Kennedy, Jean Lachaîne, Carey Levington, David Armstrong, Naoki Chiba, A. B. R. Thomson, Sander J.O. Van Zanten, Paul Sinclair, Bijan Chakraborty, Sergio Escobedo, Sandra Smyth, Robert E. White, Krista Nevin

Bibliographic record

VenueThe American Journal of Gastroenterology · 2003
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsMcMaster UniversityMcGill UniversityMantech (Canada)Guelph General HospitalUniversité de MontréalUniversity of AlbertaDalhousie University
Fundersnot available
KeywordsMedicineEndoscopyGeneral surgeryInternal medicineGastroenterologyIntensive care medicine

Abstract

fetched live from OpenAlex

s Submitted for the 68th Annual Scientific Meeting of the American College of Gastroenterology October 10-15, 2003, Baltimore, Maryland: OUTCOMES RESEARCH: PDF Only

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.023
GPT teacher head0.270
Teacher spread0.247 · 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 designObservational
Domainnot available
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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueThe American Journal of GastroenterologySame topicColorectal Cancer Screening and DetectionFrench-language works237,207