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Record W2217397960 · doi:10.1155/2003/189642

Canadian Association of Gastroenterology - Canadian Institutes of Health Research-Pharmaceutical Partner* Postdoctoral Operating Fellowship Programme: An Outstanding Success that Continues to Excel!

2003· article· en· W2217397960 on OpenAlexafffundvenueabout
Derek M. McKay, Sandra Daniels

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2003
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsCanadian Association of GastroenterologyMcMaster University
FundersMedical Research CouncilMedical Research Council CanadaUniversity of British ColumbiaDalhousie UniversityUniversity of AlbertaAstraZenecaCanadian Association of GastroenterologyUniversity of CalgaryMcMaster UniversityCanadian Institutes of Health ResearchAstraZeneca Canada
KeywordsExcellenceMedicineMedical educationFamily medicineLibrary scienceManagementPolitical science

Abstract

fetched live from OpenAlex

The Canadian Association of Gastroenterology (CAG) postdoctoral fellowship programme was initiated in 1992 with the goal of promoting excellence in Canadian gastroenterological research. With backing from multiple pharmaceutical partners and the Canadian Institutes of Health Research, 87 fellows were funded over the next ten years for a total investment of $8,730,101. Between 1992 and 2000, fellows authored 247 articles; 176 being original research articles, 31 (17.5%) of which appeared in journals with impact factors of greater than 10. As testament to the program's success in developing young scientists, 31 former fellows (36%) have progressed to faculty positions. The fellowship programme continues to be an outstanding success and the flagship of CAG research activities.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.994
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0360.009

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 head0.285
GPT teacher head0.467
Teacher spread0.181 · 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
DomainIncentives
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

Citations9
Published2003
Admission routes4
Has abstractyes

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