{"id":"W2887497256","doi":"10.1186/s12889-018-5831-9","title":"Analysis of tobacco control policies in Nigeria: historical development and application of multi-sectoral action","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"African Population and Health Research Center; International Development Research Centre","keywords":"Tobacco control; Tobacco industry; Public health; Biostatistics; Government (linguistics); Public policy; Health policy; Private sector; Psychological intervention; Medicine; Environmental health; Economic growth; Economics; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01011497,0.0002151477,0.0002553171,0.003746631,0.004089357,0.005269556,0.0005730693,0.001002428,0.001872671],"category_scores_gemma":[0.01062221,0.0003338728,0.0001799575,0.005092273,0.003743094,0.004084586,0.002523429,0.001556861,0.0001160396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.012647,"about_ca_system_score_gemma":0.01350662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000803,"about_ca_topic_score_gemma":0.01734644,"domain_scores_codex":[0.9948676,0.002910275,0.0005108198,0.0004254467,0.0007577778,0.0005281662],"domain_scores_gemma":[0.9873083,0.008442084,0.002008461,0.0004027107,0.001386675,0.0004516951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001274349,0.0002852462,0.07022261,0.00502773,0.00004707091,0.003962736,0.3615625,0.00177075,0.001974346,0.2902735,0.004625405,0.2601206],"study_design_scores_gemma":[0.00001104721,0.0001628514,0.1476796,0.01101817,0.00004781914,0.00153962,0.4988764,0.002598416,0.003527611,0.03162043,0.3028337,0.00008446841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7839226,0.05531952,0.01175181,0.02852506,0.0005958159,0.0008092747,0.0005224821,0.00004709111,0.1185064],"genre_scores_gemma":[0.9789417,0.01347621,0.004318376,0.000518497,0.00004582277,0.0001318612,0.00009415627,0.00001167505,0.002461797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.012647,"threshold_uncertainty_score":0.09176087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09454997754159605,"score_gpt":0.3773938975936793,"score_spread":0.2828439200520832,"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."}}