Bibliographic record
Abstract
A 74 year old previously healthy man presented to the emergency department with acute onset of pain and swelling in the right hand. Earlier that evening he had played a game of recreational ice hockey. He did not have a fever and was otherwise well. He had not experienced trauma during the game and his medical history was unremarkable. Physical examination showed large lesions on the right hand (figs 1⇓ and 2⇓). Fig 1 Volar view of the right hand Fig 2 Dorsal view of the right hand ### 1 What do the images show? #### Short answer Figure 1 shows large tense bullae with surrounding erythema sparing the index finger. The blisters extend proximally to the metacarpophalangeal joints and affect the volar and dorsal aspects of the fingers (figs 1 and 2). #### Long answer It is important that the skin lesions and their distribution are correctly identified to establish a working differential diagnosis in this case. Well circumscribed, raised, and fluid filled lesions can be classified as vesicles or bullae, depending on size. Vesicles are defined as being less …
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".