Bibliographic record
Abstract
Propionic acidemia (PA), an autosomal recessive inborn error of metabolism, is one of the most frequent organic acidurias. The primary defect is deficiency of the mitochondrial enzyme, propionyl-CoA carboxylase which plays a key role in the final catabolism of the branched chain amino acids, the end-products of the beta-oxidation of fatty acids, and the metabolism of the cholesterol side chains. Derangements in these pathways result in the accumulation of toxic metabolites which result in progressive end-organ dysfunction. Clinical manifestations include episodes of severe metabolic ketoacidosis, intercurrent infection, vomiting, hypotonia, convulsions, developmental delay with central nervous system involvement, gastroesophageal reflux, osteoporosis, pancreatitis, and cardiomyopathy. We present a 14-year-old girl with PA who required anesthetic care for magnetic resonance imaging (MRI) of the thoracolumbar spine. Previous reports of anesthetic care for these patients are reviewed, the end-organ involvement is discussed, and options for anesthetic care are presented. J Med Cases. 2015;6(9):420-425 doi: http://dx.doi.org/10.14740/jmc2263w
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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".