{"id":"W2554816093","doi":"10.1136/tobaccocontrol-2016-053266","title":"Educational and wealth inequalities in tobacco use among men and women in 54 low-income and middle-income countries","year":2016,"lang":"en","type":"article","venue":"Tobacco Control","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Socioeconomic status; Smokeless tobacco; Inequality; Low and middle income countries; Tobacco control; Population; Developing country; Medicine; Distribution (mathematics); Demography; Environmental health; Public health; Geography; Tobacco use; Economic growth; Economics; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008267589,0.0002635497,0.0002841888,0.001316985,0.0005494943,0.0005917027,0.000271195,0.0002194504,0.001411053],"category_scores_gemma":[0.001615447,0.0002263798,0.0004020413,0.001703547,0.0005852515,0.0004759253,0.0009677247,0.0003205069,0.0001899489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005302004,"about_ca_system_score_gemma":0.0004009693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02463244,"about_ca_topic_score_gemma":0.0327451,"domain_scores_codex":[0.9995448,0.0001615655,0.00005625008,0.00007252637,0.0000513375,0.000113537],"domain_scores_gemma":[0.9993735,0.0001089287,0.0003025584,0.00003505896,0.00006200535,0.0001179759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002830777,0.00001449705,0.9981192,0.00001895639,0.00005078604,0.00004249674,0.0004538471,0.00005292817,0.00005207058,0.00004676595,0.00008933506,0.001030865],"study_design_scores_gemma":[0.000002027145,0.00002062777,0.9990047,0.0000187224,0.00001925801,0.00003383005,0.000636495,0.00007512864,0.00002357526,0.00002456267,0.0001383873,0.000002690568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981865,0.0003413699,0.00007220939,0.00006170938,0.000003227908,0.00001526561,0.0007554165,0.000001578998,0.0005626883],"genre_scores_gemma":[0.9992873,0.0001626092,0.00006203094,0.00002087154,0.000004101783,0.0000160669,0.0003802078,6.058503e-7,0.00006632209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02463244,"threshold_uncertainty_score":0.04897809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979349018619352,"score_gpt":0.2726326359503286,"score_spread":0.252839145764135,"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."}}