Sleep Apnea through Journal Articles included in the Web of Science in the First Decade of the 21st Century
Bibliographic record
Abstract
Sleep Apnea is characterized by cessation (apnea) or semi-cessation of breathing (hipopnea) while asleep.The most important effect of Sleep Apnea is the daily somnolence which is one of the most important causes of traffic accidents.Thus, it is crucial to conduct research on the topic to analyze different parameters, such as where it is conducted, who are the most productive scientists, in which journals it is published, and whether the number of studies on the subject is rising.The purpose of the current study was to analyze these parameters on the Web of Science in the first decade of the 21st Century.It was found that the number of studies on the topic is increasing; the countries with the highest number of studies were the USA, Germany and Canada.The most productive authors were David Gozal (USA), T. Douglas Bradley (Canada) y Patrick Levy (France).The journals with the highest number of articles were Sleep, Chest and American Journal of Respiratory and Critical Care Medicine.
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 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 | 0.006 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.054 | 0.075 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.045 | 0.010 |
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".