Bibliographic record
Abstract
The introduction of computerized tomography in the identification of sinonasal pathology and associated anatomic variants has contributed to a greater understanding of the factors leading to ostiomeatal complex (OMC) obstruction and chronic sinus disease. The OMC and paranasal sinus regions were prospectively evaluated in 150 consecutive patients as a function of the degree of nasal septal deviation and compared with matched controls. These data were correlated with paranasal sinus disease, lateral nasal wall findings, and middle turbinate abnormalities. An increased incidence and severity of bilateral chronic sinus disease was present with increasing septal deviations (p < 0.05). Similarly, patients with increasing nasal septum deviations were noted to have a higher incidence of OMC obstruction (p < 0.05). Ostiomeatal complex obstruction in the direction of septal angulation was associated with nasal septal deformity; however, contralateral OMC obstruction was associated with middle turbinate and lateral nasal wall abnormalities (p < 0.05). The evaluation of the degree of septal angulation has helped better understand the factors contributing to chronic sinus disease and OMC obstruction.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".