{"id":"W1981457529","doi":"10.1016/j.amepre.2006.06.023","title":"Inferring Strategies for Disseminating Physical Activity Policies, Programs, and Practices from the Successes of Tobacco Control","year":2006,"lang":"en","type":"review","venue":"American Journal of Preventive Medicine","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tobacco control; Dissemination; Context (archaeology); Tobacco industry; Psychological intervention; Public relations; Smoking cessation; Business; Public health; Consumption (sociology); Political science; Medicine; Sociology; Law; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008293706,0.0005042047,0.004028508,0.000154566,0.00009936406,0.00004817375,0.0003524275,0.00007836689,0.000005478546],"category_scores_gemma":[0.001642931,0.0002709883,0.0005944272,0.0004881033,0.001459101,0.0004026159,0.0001041937,0.0008914057,3.209426e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110178,"about_ca_system_score_gemma":0.0005242139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002378387,"about_ca_topic_score_gemma":0.0001073504,"domain_scores_codex":[0.9972233,0.0005841703,0.000844553,0.0003365497,0.0006708698,0.0003405298],"domain_scores_gemma":[0.9852771,0.006482108,0.007223718,0.0003147507,0.0005327195,0.0001696079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001432994,0.003057397,0.01046386,0.003844532,0.001481965,0.0000176436,0.0005072007,5.462538e-7,0.00006797058,0.0002673668,0.0001258376,0.9800224],"study_design_scores_gemma":[0.01240865,0.04049967,0.27816,0.2093028,0.08897734,0.0007796556,0.02412703,0.0001213876,0.0002362309,0.005901125,0.3371704,0.002315713],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3179943,0.6780191,0.000642667,0.00100884,0.000156231,0.001860378,0.00009353273,0.00001875366,0.0002062351],"genre_scores_gemma":[0.7666337,0.2308563,0.0002477566,0.00002624434,0.002087563,0.00004716116,0.00002860412,0.00004914575,0.00002351583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9777067,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04675359927304244,"score_gpt":0.4183198597890391,"score_spread":0.3715662605159967,"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."}}