{"id":"W2990223991","doi":"10.1111/capa.12346","title":"Cannabis policy diffusion in Ontario and New Brunswick: Coercion, learning, and replication","year":2019,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Coercion (linguistics); Cannabis; Recreation; Government (linguistics); Public policy; Replication (statistics); Public administration; Political science; Power (physics); Criminology; Addiction; Law; Psychology; Psychiatry; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01154428,0.0003143792,0.001067946,0.004286087,0.009125422,0.004596402,0.002398404,0.001024878,0.002536959],"category_scores_gemma":[0.03963238,0.000504364,0.0005679121,0.008581132,0.009355254,0.002261113,0.004910359,0.002048697,0.0001105792],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2231933,"about_ca_system_score_gemma":0.209276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960163,"about_ca_topic_score_gemma":0.9968807,"domain_scores_codex":[0.9888361,0.001990596,0.0004876318,0.0009230647,0.004363606,0.003398939],"domain_scores_gemma":[0.9686122,0.01126753,0.004198158,0.002270543,0.01128145,0.002370144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007665112,0.0002765042,0.5873331,0.0006440286,0.0002624516,0.001216178,0.1616039,0.007548543,0.003006355,0.1003476,0.008269862,0.1287248],"study_design_scores_gemma":[0.000142787,0.00008884112,0.8286545,0.0003693473,0.0001248199,0.0001004029,0.09737623,0.004925137,0.001789055,0.008982032,0.05724384,0.0002029806],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342901,0.001283464,0.001649213,0.0120505,0.00005336619,0.0003992998,0.0009093405,0.00003678601,0.04932785],"genre_scores_gemma":[0.9959053,0.000370055,0.0005044781,0.0002155621,0.000008282237,0.00004919703,0.0001581683,0.000008309849,0.002780592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2231933,"threshold_uncertainty_score":0.9009857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348274313319771,"score_gpt":0.2973657683311892,"score_spread":0.2738830251979915,"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."}}