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Record W2317466157 · doi:10.1155/2004/983696

Canadian Association of Gastroenterology Launches Human Resource Planning Initiatives

2004· article· en· W2317466157 on OpenAlexaffvenueabout
Desmond Leddin

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2004
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsPfizer (Canada)AstraZeneca (Canada)Canadian Association of Gastroenterology
Fundersnot available
KeywordsMedicineStrategic planningGastroenterologyLibrary scienceInternal medicineBusinessComputer scienceMarketing

Abstract

fetched live from OpenAlex

In 2002, the Canadian Association of Gastroenterology (CAG) conducted a survey of the membership, the results of which were reviewed and developed by the Past Presidents' Council into a long term strategic plan. Survey findings and the resulting strategic plan were published earlier this year in The Canadian Journal of Gastroenterology and can be reviewed on the CAG Web site at http://www.pulsus.com/Gastro/18_01/Pdf/newe_ed.pdf and http://www.pulsus.com/Gastro/18_02/Pdf/newe_ed.pdf. Members repeatedly noted the importance of collecting statistics on gastroenterology in Canada and addressing human resource issues.

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)0.016
metaresearch head score (Gemma)0.019
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: Editorial · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score0.427

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0100.003
Scholarly communication0.0060.001
Open science0.0020.004
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0160.002

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 head0.055
GPT teacher head0.345
Teacher spread0.290 · 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
GenreEditorial

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

Citations6
Published2004
Admission routes3
Has abstractyes

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