{"id":"W2582449075","doi":"10.1016/j.envres.2017.01.024","title":"Interactions between cigarette smoking and ambient PM 2.5 for cardiovascular mortality","year":2017,"lang":"en","type":"article","venue":"Environmental Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Hazard ratio; Confidence interval; Proportional hazards model; Lung cancer; Cardiovascular health; Diabetes mellitus; Prospective cohort study; Cigarette smoking; Percentile; Internal medicine; Environmental health; Endocrinology; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00286562,0.0001317221,0.0002135622,0.00003896116,0.002234658,0.0001540432,0.0004026516,0.00008542833,0.0006257505],"category_scores_gemma":[0.0002451519,0.0001297224,0.0001566396,0.00003489173,0.0009624516,0.0004621071,0.0008426883,0.0004410526,0.0001385573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004863549,"about_ca_system_score_gemma":0.00001139528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246627,"about_ca_topic_score_gemma":0.0001345313,"domain_scores_codex":[0.9975129,0.0001867587,0.0002206243,0.000489135,0.0009510525,0.0006395009],"domain_scores_gemma":[0.9984475,0.0002152726,0.00007316769,0.0008909408,0.000003082203,0.0003699911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002461757,0.00009229004,0.8641259,0.00003428338,0.0001953355,0.000008242831,0.0005802389,0.00003319687,0.0004892487,0.00006138575,0.002289494,0.1320658],"study_design_scores_gemma":[0.000357846,0.00009672644,0.8909849,0.00001614,0.00004157763,0.000002568274,0.0001813366,0.0001730844,0.0009606355,0.001532972,0.1055178,0.0001344146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932254,0.0001219657,0.0007559935,0.001994241,0.0001113246,0.0006770985,0.00006883142,0.00001575188,0.003029387],"genre_scores_gemma":[0.9981881,0.0001774397,0.0003155381,0.0001692795,0.0001862365,0.00009343815,0.00002005255,0.00002025366,0.0008296997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1319313,"threshold_uncertainty_score":0.9990643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.220538457546936,"score_gpt":0.4404405706644153,"score_spread":0.2199021131174792,"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."}}