{"id":"W2908435526","doi":"10.1016/j.pmedr.2018.12.013","title":"The relationship between motor vehicle collisions and cigarette smoking in Ontario: Analysis of CAMH survey data from 2002 to 2016","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tobacco Research Unit; University of Toronto; Centre for Addiction and Mental Health; Western University; Centre for Family Medicine","funders":"","keywords":"Legislation; Medicine; Environmental health; Occupational safety and health; Injury prevention; Demography; Confounding; Poison control; Suicide prevention; Human factors and ergonomics; Law","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":[0.0005326193,0.0002928441,0.0003759432,0.001799242,0.001484314,0.0008730269,0.001075243,0.0003326059,0.001786625],"category_scores_gemma":[0.002361324,0.0004581725,0.000836706,0.005644453,0.0004627266,0.0003410043,0.001070822,0.0003666745,0.0002717299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01722922,"about_ca_system_score_gemma":0.01828747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894036,"about_ca_topic_score_gemma":0.9943686,"domain_scores_codex":[0.999148,0.00006016614,0.00009473934,0.0001285545,0.000375662,0.0001929053],"domain_scores_gemma":[0.9971144,0.0001160775,0.00106405,0.0001028545,0.001170639,0.0004319823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000345049,0.000008495046,0.9971726,0.00004891915,0.00004448934,0.0000322821,0.0004511834,0.0000545668,0.0001120437,0.00002024866,0.0006990581,0.00132148],"study_design_scores_gemma":[0.000002106602,0.000004767408,0.9990813,0.00001207718,0.000008730788,0.00001136146,0.0002567254,0.00006019655,0.00001234554,0.000002968663,0.0005449167,0.000002535025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748576,0.0008427022,0.0001399667,0.0003119312,0.00001279291,0.00008478226,0.02118246,0.00001850977,0.00254921],"genre_scores_gemma":[0.9878445,0.0007796995,0.0002345771,0.0001000351,0.00001340358,0.00008039501,0.009233822,0.00000976255,0.001703739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01722922,"threshold_uncertainty_score":0.1250073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433460818372939,"score_gpt":0.3757505140385384,"score_spread":0.2324044322012445,"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."}}