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Record W2075332147 · doi:10.1179/oeh.2009.15.2.152

Components of Particulate Air Pollution and Mortality in Chile

2009· article· en· W2075332147 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

VenueInternational Journal of Occupational and Environmental Health · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsHealth Canada
Fundersnot available
KeywordsParticulatesAir pollutionEnvironmental sciencePopulationPollutionEnvironmental chemistryEnvironmental healthMedicineChemistryEcologyBiology

Abstract

fetched live from OpenAlex

To determine the association between several elements of fine particulate air pollution (PM2.5) and mortality in a general population sample, daily time-series analysis was used to test the association between daily mortality and components of PM2.5 measured in downtown Santiago, Chile between 1998 and 2006. The strongest individual effect was seen for elemental carbon. A 5.28 ug/m3 increase in elemental carbon was associated with a relative risk (RR) of 1.08 (95% CI = 1.07-1.09) for total non-accidental mortality. Using factor analysis, a group of elements consistent with a mobile combustion source (carbon monoxide, nitrogen dioxide, elemental and organic carbon) was significantly associated with total mortality (RR 1.11; 95% CI = 1.083-1.138). Soil-sourced particles had a weaker but statistically significant mortality effect. Of the many sources of particulate air pollution, those from motor vehicle exhaust had the greatest observed effect on mortality.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.051
GPT teacher head0.357
Teacher spread0.306 · 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