{"id":"W7033462958","doi":"","title":"Provincial Cannabis Legislation, Regulation, and Licensing: Its Effectiveness and Impacts on Municipalities in Ontario","year":2022,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Legislation; Cannabis; Autonomy; Government (linguistics)","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":[0.00209904,0.0001461579,0.0003357134,0.00118702,0.01012228,0.003589611,0.00134094,0.0008498398,0.003833499],"category_scores_gemma":[0.01049464,0.0003320809,0.0004903112,0.00299633,0.003698779,0.001093358,0.003494879,0.0009004433,0.0002508512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1248031,"about_ca_system_score_gemma":0.1322941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922889,"about_ca_topic_score_gemma":0.9974735,"domain_scores_codex":[0.9954438,0.0006902674,0.0001371514,0.0002500098,0.001536798,0.001941898],"domain_scores_gemma":[0.988416,0.001840788,0.002101564,0.0003987694,0.004276562,0.002966382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006709701,0.0004245205,0.7960904,0.0005345446,0.0001497074,0.002125933,0.079537,0.001866724,0.002994374,0.02659538,0.01593452,0.07307594],"study_design_scores_gemma":[0.00003942397,0.0001300133,0.8674172,0.0001902005,0.00008800054,0.0001269063,0.08759324,0.00100242,0.0005481194,0.001037741,0.0417742,0.00005253429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639835,0.0007308997,0.000142519,0.004919438,0.00002076846,0.000086959,0.0004242275,0.00002454097,0.02966701],"genre_scores_gemma":[0.9928823,0.0005119949,0.0001286997,0.000292375,0.000005111257,0.00002167745,0.0001287887,0.00000840592,0.006020817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1248031,"threshold_uncertainty_score":0.9055142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099149457531728,"score_gpt":0.2423762117399802,"score_spread":0.2213847171646629,"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."}}