MétaCan
Menu
Back to cohort

Perfil da mortalidade por intoxicação com medicamentos no Brasil, 1996-2005: retrato de uma década

2012· article· pt· W2084898977 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCiência & Saúde Coletiva · 2012
Typearticle
Languagept
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineChristian ministryEpidemiologyPublic healthMortality rateDescriptive statisticsEnvironmental healthDemographySurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

The occurrence of deaths caused by intoxication with medication have been considered a worsening public health problem. The study describes the epidemiological profile of medication-related intoxication in the general Brazilian population from 1996 to 2005. A descriptive study was conducted with mortality data obtained from the Mortality Information System of the Brazilian Ministry of Health. Deaths were selected according to the codes of the International Classification of Diseases (ICD-10). A total of 4,403 deaths were found inn males (53.9%), bachelors (53.7%) and the 20 to 39 year-old age bracket (44%). The majority of deaths were caused by intentional self-intoxication using anticonvulsants, sedatives, antiparkinsonians and psychotropics. The standardized mortality rate was higher in the Midwest region and Potential Life-Years Lost increased by 15.5%. The study showed the characteristics and variations in mortality by intoxication with medication in Brazil, which can be a reflex of the medication consumption patterns of the country, indicating the need for enhancement of sanitary vigilance policies.

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 imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.004

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.

Opus teacher head0.050
GPT teacher head0.357
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it