The Introduction of Oxygen for Pneumonia as Seen Through the Writings of Two Mcgill University Professors, William Osler and Jonathan Meakins
Bibliographic record
Abstract
Oxygen was identified at the end of the 18th century by three independent researchers. It was first used indiscriminately with other gases for treatment of pulmonary diseases by Thomas Beddoes. In the 19th century, the physiological properties of oxygen were identified by many researchers. In that same century, physicians used oxygen empirically for a variety of conditions. Osler, who wrote on pneumonia, appreciated that blood was "imperfectly oxidised" (sic) in pneumonia, but concluded that the toxicity of oxygen more than outweighed its possible benefits. Meakins applied the lessons he learned from studying the hypoxemia that resulted from poison gas in World War I to pneumonia. He confirmed that patients with severe pneumonia were hypoxemic and that many of their symptoms appeared to be relieved by inhalation of oxygen. Oxygen then became the standard therapy for pneumonia.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".