{"id":"W3004247264","doi":"10.26719/emhj.20.007","title":"Socioeconomic inequalities in tobacco, alcohol and illicit drug use: evidence from Iranian Kurds","year":2020,"lang":"en","type":"article","venue":"Eastern Mediterranean Health Journal","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Kermanshah University of Medical Sciences; Ministry of Health and Medical Education","keywords":"Socioeconomic status; Islamic republic; Consumption (sociology); Environmental health; Inequality; Cigarette smoking; Medicine; Illicit drug; Alcohol consumption; Alcohol; Islam; Drug; Geography; Population; Sociology; Social science; Psychiatry","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":[0.001519883,0.0003438171,0.0003631202,0.001747207,0.00044215,0.0005387577,0.0003873081,0.0002667395,0.002395621],"category_scores_gemma":[0.00341625,0.0001847942,0.0007263439,0.001896152,0.0005950922,0.0004637747,0.0008322135,0.0004938699,0.0001456126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000500354,"about_ca_system_score_gemma":0.0007503286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02368157,"about_ca_topic_score_gemma":0.03071904,"domain_scores_codex":[0.9993747,0.0002296181,0.00007066137,0.00007264941,0.0001221029,0.0001303286],"domain_scores_gemma":[0.9983444,0.0004867985,0.0006810807,0.00008106347,0.0002507191,0.0001558545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002109048,0.00007785408,0.9773448,0.0003816859,0.0003927428,0.0001306715,0.0009140107,0.00007600013,0.00005568789,0.0004293178,0.001063529,0.01892285],"study_design_scores_gemma":[0.00001157801,0.00003346888,0.9972724,0.0001937129,0.0001245326,0.00008064904,0.001026697,0.00004519533,0.00001765906,0.000101294,0.001088102,0.00000474225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982929,0.0118364,0.00008751625,0.001289293,0.00005174783,0.0000170037,0.001040678,0.000002844717,0.002745527],"genre_scores_gemma":[0.9947934,0.004517591,0.00005435386,0.0001653363,0.00003759059,0.00001192639,0.0003592322,0.000001203986,0.00005931877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02368157,"threshold_uncertainty_score":0.04708749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1606410774486879,"score_gpt":0.3506363762465845,"score_spread":0.1899952987978966,"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."}}