Bibliographic record
Abstract
Thrombotic thrombocytopenic purpura is a rare disease of immune origin, belonging to thrombotic microangiopathies. In most cases, it can present as microangiopathic hemolytic anemia accompanied by thrombocytopenia, neurological deficit and kidney abnormalities. The present clinical case belongs to a female patient with no significant personal or family history, who went to the doctor for a clinical picture of 2 days of evolution with hematuria, general malaise, asthenia and adynamia, on physical examination without alterations, with vital signs in ranges of normality. The diagnosis of thrombotic thrombocytopenic purpura was made due to hemolysis, elevated levels of lactate dehydrogenase and a reduction in serum haptoglobin accompanied by the presence of serum schistocytes> 6% in the peripheral blood smear. Thrombocytopenic purpura is a diagnostic challenge because its clinical picture is often nonspecific, making it more difficult to start its treatment in a timely manner. Another drawback is the high costs for ADAMTS13 activity tests. Despite the fact that the treatments for this disease have low success rates, in our clinical case our patient responded favorably to the treatment instituted
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".