Bibliographic record
Abstract
Hypophosphatasia (HPP) is a rare, inherited, potentially life-threatening metabolic disorder that arises from loss-of-function mutations in the gene that encodes the tissue-nonspecific isoenzyme of alkaline phosphatase (TNSALP). As a result of these mutations (as many as 260 genetic mutations have been associated with HPP), patients have disordered bone mineralization leading to rickets, osteomalacia, fractures and other skeletal abnormalities as well as other systemic complications such as seizures, respiratory compromise, dental anomalies, nephrocalcinosis and/or weakness and chronic pain. HPP may appear across the age spectrum, from in utero, to infancy, childhood, adolescence and/or adulthood. More severe cases tend to be seen in utero and infancy, and in these instances, mortality may be as high as 50%. In surviving or older patients, disability and poor quality of life may be seen. Based on clinical presentation, HPP can be mistakenly diagnosed as other skeletal diseases, but a low alkaline phosphatase is an important, distinguishing sign of this condition. While patients with HPP may benefit from supportive measures, at the present time, there is no approved specific therapy for HPP.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.017 |
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".