Muertes por suicidio en la Región de Tarapacá, \naños 1990-2013
Bibliographic record
Abstract
Introduction: It presents the update of an epidemiologic descriptive study of deaths by suicide \nthat took place in the Tarapacá region, Chile. The study encompasses almost a quarter of a \ncentury, between the years 1990 and 2013, and brings interesting information with respect to \nthe tendencies of the phenomenon along an extensive period of time. Method: A retrospective \nepidemiologic descriptive study of type transvensal of deaths classified as violent in the autopsy \nprotocols of the Servicio Médico Legal of the city of Iquique and the medical death certificate. \nResults: In a total of 565 cases, a general rate of suicide for this period of 9,18 for 100.000 hab \nhas been noted, with variations of the annual rates between 4, 95 in the year 1995 and 13, 97 \nin the year 1999. It was observed that suicide was more frequent between the ages 20 and 44 \nyears, with a relation men-women of 5,3:1. Conclusions: The previous study (2010) confirmes \na tendency to the stabilization of the increasing rates observed in the past decade. In figures this \nrate was somehow inferior to the general rate of suicide of the country in the year 2011 (13,3 for \n100.00 hab.), but it doubled the registered rates in the 90’s.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".