{"id":"W3195053194","doi":"10.1289/isee.2021.o-sy-106","title":"Estimating the effect of long-term exposure to PM2.5 on mortality in Canadian Community Health Survey Cohort using parametric g-computation","year":2021,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Health Canada","funders":"","keywords":"Confounding; Environmental health; Covariate; Logistic regression; Medicine; Cohort; Demography; Environmental epidemiology; Health effect; Cohort study; Epidemiology; National Health and Nutrition Examination Survey; Statistics; Population; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008438957,0.001098836,0.001022429,0.001532995,0.001016369,0.0009223441,0.002540559,0.0008748081,0.002226654],"category_scores_gemma":[0.03713704,0.0004859056,0.002672979,0.00165717,0.001292733,0.0003697449,0.001495328,0.001285688,0.0002606405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003894634,"about_ca_system_score_gemma":0.010861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6737631,"about_ca_topic_score_gemma":0.5314079,"domain_scores_codex":[0.9972562,0.001158602,0.0001478912,0.000722607,0.0004414058,0.0002733059],"domain_scores_gemma":[0.9839147,0.01139249,0.0007926287,0.001804475,0.001800035,0.0002956176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009392044,0.0001527088,0.5403988,0.0005821544,0.002094472,0.0006575617,0.0005917556,0.344138,0.001197995,0.008006102,0.005085131,0.09615616],"study_design_scores_gemma":[0.0001515477,0.0002748145,0.1956331,0.0001874172,0.0006982504,0.0003130511,0.0005956062,0.7848183,0.001105244,0.01158409,0.004535383,0.0001031518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6583492,0.001744355,0.3196504,0.001820968,0.0001684122,0.0007512057,0.01264317,0.001718252,0.003154095],"genre_scores_gemma":[0.8663343,0.0004500292,0.1238348,0.0003372672,0.00004155618,0.0004045669,0.006846421,0.0001010325,0.00165003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3262369,"threshold_uncertainty_score":0.6563163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223841561832218,"score_gpt":0.3953116654403083,"score_spread":0.2729275092570865,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}