Bibliographic record
Abstract
Introduction In his 1908 address to the Royal College of Physicians of London, Sir Archibald Garrod (1857–1936) coined the expression inborn error of metabolism to describe a group of disorders – alkaptonuria, benign pentosuria, albinism, and cystinuria – which “… apparently result from failure of some step or other in the series of chemical changes which constitute metabolism”. He noted that each was present at birth, persisted throughout life, was relatively benign and not significantly affected by treatment; and that each was transmitted as a recessive trait within families in a way predictable by Mendel's laws of inheritance. In fact, alkaptonuria was the first example of Mendelian recessive inheritance to be recognized as such in humans. Garrod concluded, from the results of experiments on the effects of feeding phenylalanine and various putative intermediates of phenylalanine metabolism on homogentisic acid excretion by patients with the condition, that homogentisic acid is an intermediate in the normal metabolism of phenylalanine and tyrosine. Moreover, he observed that the specific defect was in the oxidation of homogentisic acid. La Du subsequently confirmed this 50 years later by demonstrating profound deficiency of homogentisic acid oxidase in a biopsy specimen of liver from a patient with alkaptonuria. Following Følling's discovery of phenylketonuria (PKU) in 1934, Garrod's concept underwent a major change, particularly with respect to its relationship with disease. Like alkaptonuria, PKU was shown to be caused by a recessively inherited point defect in metabolism, in the conversion of phenylalanine to tyrosine in the liver.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.196 | 0.146 |
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".