Molecular Characterization of a Novel 55.1 kb<sup>G</sup>γ(<sup>A</sup>γδβ)<sup>0</sup>-thalassemia Deletion in Two Canadian Families
Bibliographic record
Abstract
We report two Canadian families in which there are four carriers of a novel (G)gamma((A)gammadeltabeta)(0)-thalassemia deletion. The patients all have mild microcytosis and hypochromia, and elevated levels of Hb F ranging from 9.7 to 17.3%. The precise endpoints of the deletion have been identified and are unique relative to other forms of (G)gamma((A)gammadeltabeta)(0)-thal reported in the literature. The deletion encompasses approximately 55.1 kb, beginning approximately 1.6 kb downstream of the (G)gamma-globin gene and extending approximately 29.0 kb downstream of the beta-globin gene.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".