Re-evaluating the Hierarchy of Evidence: What is the Gold Standard?
Bibliographic record
Abstract
On October 16, 1846, William Morton took part in an operation to remove a tumour from a patient’s neck. However, this surgery was unlike any other that had been completed before. 1 Morton’s stage was the local surgical amphitheater in the Massachusetts General Hospital, and his main prop was the ether, a novel substance that promised to alleviate pain in an unprecedented manner. Within the amphitheater, scientists, dentists, and doctors eagerly awaited the awakening of Morton’s patient after the surgery. To everyone’s delight, after awakening, the patient announced that he did not feel any pain during the operation. Barely a month later, this local stage turned global when Henry Jacob Bigelow published this case study in the Boston Medical & Surgical Journal. 2,3 To this date, the birth of anesthesia is considered a landmark medical discovery.
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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 | 0.439 | 0.732 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.027 | 0.012 |
| Bibliometrics | 0.033 | 0.018 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.024 | 0.027 |
| Open science | 0.015 | 0.009 |
| Research integrity | 0.011 | 0.019 |
| Insufficient payload (model declined to judge) | 0.005 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".