Bibliographic record
Abstract
A 45 year old woman was referred by psychiatrists for assessment of raised alkaline phosphatase. She had been admitted to a psychiatry ward for management of schizophrenia and was being treated with fluphenazine and olanzapine. She had been otherwise well and denied any gastrointestinal symptoms or any bone or muscle pains. Her blood tests results were as follows (normal ranges in brackets)): Abdominal ultrasound showed normal physiology in the gallbladder, common bile duct, common hepatic duct, and liver parenchyma. Further tests showed that the patient was vitamin D deficient, with a serum level of calcidiol of 23 nmol/l (normal range 25-250 nmol/l). Tests for anti-nuclear and anti-mitochondrial antibodies were negative. Vitamin D2 (ergocalciferol) 5000 units daily and calcium 1500 mg daily were commenced. Three months later, the patient’s calcidiol level was still only 22 nmol/l. On repeat testing, her alkaline phosphatase concentration had risen to 573 U/l. Vitamin D2 was replaced with calcitriol 0.25 µg daily. Her calcidiol concentration went up to 126 nmol/l and alkaline phosphatase came down to 253 U/l when tested three months later. Over the next five months, the patient’s alkaline phosphatase concentration ranged from 267 U/l to 279 U/l, despite normal levels of calcidiol (i.e., 165 nmol/l). Given that the patient had no gastrointestinal symptoms, nutritional vitamin D deficiency was thought to be the cause of her vitamin deficiency. However, the biochemical abnormalities did not return to normal after vitamin D replacement. Further investigations were positive for coeliac antibodies (normal values in brackets): Anti-tissue transglutaminase IgA >200 U/ml (<10) Anti-gliadin …
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".