Low Oxygen Saturation by Pulse Oximetry May Be Associated With a Low Oxygen Affinity Hemoglobin Variant, Hemoglobin Titusville
Bibliographic record
Abstract
The authors describe a 10-year-old Caucasian boy who presented with abnormally low oxygen saturation values on pulse oximetry after a routine tonsillectomy. He was asymptomatic and there was no personal or family history of respiratory, cardiac, or hematologic disorders. Multiple initial investigations were completed without diagnostic yield. Eventually, hemoglobinopathy studies identified the presence of a low oxygen affinity hemoglobin variant, characterized as hemoglobin Titusville. Hemoglobinopathies remain highly prevalent worldwide, with more than 65 low oxygen affinity hemoglobin variants identified to date. Early recognition of abnormal hemoglobin variants in asymptomatic patients may avoid extensive, unnecessary medical investigations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".