Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: The Pima County Office of the Medical Examiner (PCOME) maintains medicolegal jurisdiction over Southern Arizona, which includes the Sonoran Desert and the Arizona/Mexico border. Given the unique climate and biodiversity of the Sonoran Desert coupled with the Mexican border, environmental-related deaths are represented in proportions different from other jurisdictions in the United States. METHODS: A retrospective study of deaths falling into one of five categories (hyperthermia, hypothermia, undetermined with skeletal and/or mummified modifiers, venom-related, and lightning) certified by the PCOME between January 1, 2010 and December 1, 2017 was conducted by searching the PCOME electronic database. RESULTS AND DISCUSSION: Of the 16 649 cases certified by the office during that time, 639 were categorized into one of the above five categories. Hyperthermia cases were the most common, followed by undetermined, hypothermia, venom-related, and lightning. A unique population of individuals referred to as undocumented border crossers (UBCs) is discussed and accounted for 470 of the 639 deaths.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it