Bibliographic record
Abstract
arly in 1970, Alexander Romagnoli, MD, drove his Corvette from Montreal to Houston in less than 2 days.His plan was to observe cardiovascular anesthesia in preparation for starting a similar program at the Montreal General Hospital.Instead, he decided to be part of what he saw, and before the year's end, he was the newest member of our cardiovascular anesthesia group.Alex died on 29 August 2000.The intervening years of association with this uniquely and marvelously talented colleague were filled with episodes of this same seeming impetuosity, quick decisions leading to action at twice normal speed.For 3 decades his energy, enthusiasm, and imagination enriched our professional lives.Alex Romagnoli was born in 1923 in Florence, Italy, where he received all his early education, including a Doctor of Medicine degree from the University of Florence in 1949.His next 5 years were spent in England, acquiring graduate medical training in anesthesiology.In 1955, he moved to Canada as a Research Fellow in the Department of Pharmacology of McGill University, and while there he completed his training and certification in anesthesiology.Before moving to Houston, he held an academic appointment as Senior Lecturer in Anaesthesia at the
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.045 | 0.039 |
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".