Bibliographic record
Abstract
重症医学是现代医学的重要组成部分。中国重症医学以2005年成立中华医学会重症医学分会、2008年取得国家二级学科编号为标志性事件，近10年来从学科建设到疾病诊疗均获得了突破性进展。借鉴发达国家重症医学学科的发展经验，对于促进我国重症医学的进一步发展具有重要的意义。加拿大重症医学学科发展比较成熟，多伦多大学Sunnybrook医院重症医学中心为北美著名的重症医学中心之一。笔者获得江苏省卫生国际（地区）交流支撑计划项目资助，受多伦多大学邀请，在Sunnybrook医院重症医学中心研修了3个月。现将学习收获与思考报告如下，期望对国内重症医学发展有所帮助。
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.031 | 0.002 |
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.
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".