Bibliographic record
Abstract
1. Natalie P. Cunningham* 2. Peter J. Green, FRCP† 1. *Dalhousie University, Halifax, NS, Canada. 2. †Department of Medicine (Dermatology), Capital District Health Authority and Dalhousie University, Halifax, NS, Canada. * Abbreviations: ACE: : angiotensin-converting enzyme NPS: : nail patella syndrome A dermatologist has been following a 3-year-old girl for unusually shaped fingernails noted at birth. Her history is as follows. At age 6 months, the patient’s primary care physician referred her to the dermatology service after the child’s adoptive mother expressed concern about her daughter’s small, misshapen fingernails. The infant was born after a pregnancy complicated by maternal smoking. She was induced at term due to failure to progress and eventually required vacuum extraction, weighing 2.405 kg at birth with Apgar scores of 9 and 9 at 1 and 5 minutes, respectively. There had been no concerns with her growth or development, and she was an active and happy child. She took no medications and had no known allergies. Her family history included a biological mother with attention-deficit/hyperactivity disorder and substance abuse and a healthy maternal half-brother. Little was known about the biological father, but the biological mother indicated that the father had abnormal nails. Physical examination at 6 months revealed an alert, well-appearing infant in no acute distress. Vital signs were within normal limits for her age, and she was growing between the 50th and 75th percentiles for height, weight, and head circumference. She was normal in appearance. There were no dysmorphic features on her head, face, or torso. Her fingers were slightly tapered with normal creases. The nails of her fingers on both hands were small and unusually shaped with longitudinal grooving, most pronounced on her thumbnails and less so on the nails of the fifth digits. Her toenails were unaffected. Given the nonspecific nail features, the dermatologist recommended seeing the infant 1 year later. At age …
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".