{"id":"W2979964093","doi":"10.1136/tobaccocontrol-2019-055102","title":"Development of a tobacco 21 policy assessment tool and state-level analysis in the USA, 2015–2019","year":2019,"lang":"en","type":"review","venue":"Tobacco Control","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Family Medicine","funders":"","keywords":"Tobacco control; Enforcement; State (computer science); Possession (linguistics); Law enforcement; Business; Law; Policy analysis; Tobacco use; Political science; Public health; Environmental health; Computer science; Medicine","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":[0.02769253,0.0004431162,0.0005921484,0.01028204,0.001360159,0.00318436,0.00150096,0.0006842776,0.005461525],"category_scores_gemma":[0.06619719,0.0005685461,0.001443957,0.0108625,0.0006689863,0.003309279,0.003171864,0.001826796,0.001166618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007515869,"about_ca_system_score_gemma":0.01917553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04274509,"about_ca_topic_score_gemma":0.06561498,"domain_scores_codex":[0.9897873,0.004031615,0.001846345,0.001065744,0.002486774,0.0007821685],"domain_scores_gemma":[0.9394453,0.0267503,0.009327604,0.002629223,0.02028316,0.001564329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00025772,0.00134619,0.6984627,0.001246723,0.0002706821,0.0001909936,0.009960198,0.008942593,0.0008606329,0.008813743,0.04274993,0.226898],"study_design_scores_gemma":[0.0001048061,0.0005330791,0.8439286,0.001419947,0.000226285,0.00009159743,0.01581071,0.03871408,0.003005864,0.006383296,0.08959192,0.000189852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7775749,0.0006154233,0.07867408,0.006335266,0.0003413403,0.01117231,0.06873493,0.003725067,0.05282665],"genre_scores_gemma":[0.7556471,0.0005333091,0.1665939,0.001151639,0.00006298614,0.0215564,0.04656626,0.0003537169,0.007534688],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04274509,"threshold_uncertainty_score":0.1464539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07765966085792195,"score_gpt":0.4003065546819107,"score_spread":0.3226468938239888,"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."}}