{"id":"W3122045449","doi":"","title":"Legalizing and Regulating Marijuana in Canada: Review of Potential Economic, Social, and Health Impacts","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Legalization; Black market; Legislation; Enforcement; Government (linguistics); Revenue; Public health; Tax revenue; Drug control; Recreation; Business; Law enforcement; Political science; Politics; Public administration; Law; Medicine; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003291374,0.000882497,0.001619138,0.00807907,0.002003099,0.003169831,0.001930874,0.002028192,0.003436931],"category_scores_gemma":[0.006648544,0.0005059039,0.001155866,0.01148586,0.002286032,0.001644872,0.0009106428,0.002545306,0.0005249745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01550409,"about_ca_system_score_gemma":0.07904995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6211153,"about_ca_topic_score_gemma":0.8189594,"domain_scores_codex":[0.9976465,0.0002158244,0.0003195569,0.0001538741,0.001482944,0.0001812722],"domain_scores_gemma":[0.9895811,0.003430355,0.0009028752,0.0001126802,0.005376685,0.0005961708],"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":[0.00009811958,0.00008640085,0.001454056,0.1146071,0.00036118,0.000412989,0.000862656,0.0004824455,0.0005331961,0.00753525,0.1159208,0.7576458],"study_design_scores_gemma":[0.00001536312,0.00005468015,0.00461003,0.04896118,0.0005201616,0.0004283591,0.0005039039,0.0001130231,0.0002998396,0.0008550837,0.9435837,0.0000545632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001156489,0.9972505,0.00003052457,0.00116851,0.0002507787,0.000008812608,0.0000578543,0.000003154588,0.001114172],"genre_scores_gemma":[0.0009020298,0.9983052,0.0000609735,0.0003923425,0.00009893976,0.00000364446,0.0000331839,0.000001640927,0.0002019374],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3788847,"threshold_uncertainty_score":0.7622321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858428354857802,"score_gpt":0.3130197818657758,"score_spread":0.2944354983171978,"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."}}