Bibliographic record
Abstract
Asthma is a major public health concern for the state of Hawai‘i, where 10% of adults reported current asthma status in 2016 (Centers for Disease Control and Prevention, 2018). Each county reported high prevalence rates: Hawai‘i, 19.6%; Honolulu, 17.3%; Kaua‘i, 15.4%; Maui, 17.2% (Hawai‘i Health Data Warehouse, 2016). Lāna‘i is the smallest island in the State consisting of 141 square miles and a population of 3,102 (U.S. Census Bureau, 2018). Although robust asthma data exist for metropolitan Honolulu, statistics are unavailable for Lāna‘i. If data were to be extrapolated using whole ethnic populations and adult asthma rates (Hawai‘i Health Data Warehouse, 2016), 184 (13%) Filipinos and 200 (28.4%) part-Hawaiian and other Pacific Islanders may be affected by the condition.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".