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Record W2900888930 · doi:10.6084/m9.figshare.4393160

Additional file 1: of Ambient PM2.5 and risk of emergency room visits for myocardial infarction: impact of regional PM2.5 oxidative potential: a case-crossover study

2016· article· en· W2900888930 on OpenAlexaboutno aff
Scott Weichenthal, Éric Lavigne, Greg J. Evans, Krystal J. Godri Pollitt, Rick Burnett

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsMyocardial infarctionMedicineCrossover studyInternal medicineCardiologyEmergency medicine

Abstract

fetched live from OpenAlex

(Figure S1: Total sampling days for regional oxidative potential (OP) at each site (2012–2013). Values below the 10th percentile (30 days, indicated by the red vertical line) were excluded for sensitivity analyses; Figure S2: Regional estimates of glutathione (OPGSH) and ascorbate (OPAA)-related oxidative potential in Ontario, Canada (2012–2013); Figure S3: Distribution of daily PM2.5 mass concentrations across quartiles of glutathione-related oxidative potential (OPGSH); Figure S4: Ambient PM2.5, PM2.5 oxidative burden and emergency room visits for myocardial infarction: sensitivity analyses excluding sites with less than 1-month of oxidative potential data; Figure S5: Concentration response plots (using cubic splines with 4 knots) for NO2, O3, and Ox and risk of emergency room visits for myocardial infarction; Figure S6: Concentration response plots for PM2.5 and risk of emergency room visits for myocardial infarction above the 90th percentile of OPGSH and below the 50th percentile using cubic splines with 4 knots). (PDF 382 kb)

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.9500.000

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 head0.045
GPT teacher head0.320
Teacher spread0.275 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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