Update on the British Columbia Thoracic Society’s Annual Case Challenge
Bibliographic record
Abstract
1Ridge Meadows Hospital, Maple Ridge; 2Burnaby Hospital, Burnaby, British Columbia Correspondence: Dr Francis Ervin, e-mail flervin@telus.net; or Dr Ross Chang, e-mail rchang@telus.net For the past 14 years, the British Columbia (BC) Thoracic Society and BC Society of Allergy and Immunology have held an Annual Case Challenge and Continuing Medical Education program in partnership with GlaxoSmithKline Canada. This established program attracts an attendance comprising the majority of respirologists and allergists from across the province. The annual program kicks off with an interhospital case challenge, whereby interesting and challenging cases are presented and discussed in a friendly yet competitive fashion. The winning team has their team name engraved on the “BCTS/BSCAI/GSK Case Challenge Cup” (BC Thoracic Society/British Columbia Society of Allergy and Immunology/GlaxoSmithKline Canada) – our 2003 winners were the Vancouver Island/Okanagan team, and in 2004, the Vancouver General Hospital team won this prestigious cup (see pictures). The Saturday Continuing Medical Education program provides an excellent, MAINCERT accredited educational opportunity with a mixture of lecture and workshop sessions. In 2003, we were honoured to have Professor Peter Barnes, from the United Kingdom, as our keynote speaker, as well as several distinguished local faculty, including Dr Kevin Elwood, Dr Mark FitzGerald, Dr Robert Schellenberg and Dr Linda Vickars. This past year, Dr Denis O’Donnell from Queen’s University in Kingston, Ontario was our keynote speaker, and other distinguished faculty included Dr Tony Bai, Dr Stephen Field, Dr Richard Finlay and Dr Murray Morrison. This is a stellar educational program, and each year we strive to find new ways to continue to improve and build on the year before. We have included a few of the interesting cases from the past two years...and challenge you to develop your own case challenge.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.033 | 0.017 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".