Primary Ciliary Dyskinesia as a common cause of bronchiectasis in the Canadian Inuit population
Bibliographic record
Abstract
with other laboratory and clinical investigations. Early and accurate diagnosis of inherited conditions generally leads to better medical care for patients and their families, with improved knowledge of the natural history of the condition and early intervention. It is therefore essential that equitable access to such testing is established for indigenous and isolated populations, in order to further narrow the health disparity gap. Although supported by funding from a few sources, this study signals a success for the Silent Genomes Project, with one of the cases having been identified by whole genome sequencing within that project, after negative whole exome sequencing. Furthermore the study has potential life-changing clinical consequences and provides starting points for possible interventions for respiratory medicine in the Inuit population. These include increased awareness of the possibility of PCD in patients presenting with neonatal respiratory distress, bronchiectasis or otitis media leading to early intervention; and in conjunction with Inuit organizations and public health officials, targeted analysis of the DNAH11 variant in the population with the possible introduction of newborn screening for PCD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".