{"id":"W2911575848","doi":"","title":"Canadian legalization of cannabis reduces both its cash usage and 'black' economy","year":2019,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Cannabis; Cash; Payment; Fell; Business; Government (linguistics); Economics; Political science; Finance; Geography; Law; 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":[0.000854016,0.0002203024,0.0003052482,0.001641204,0.003166579,0.002670408,0.0005885501,0.0006382071,0.02247629],"category_scores_gemma":[0.004733783,0.00015155,0.0004224837,0.001628558,0.001711061,0.0006984,0.001346952,0.0008524806,0.001574854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0263539,"about_ca_system_score_gemma":0.05766737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9814949,"about_ca_topic_score_gemma":0.9884931,"domain_scores_codex":[0.9987662,0.00006466531,0.00001485711,0.00006669683,0.0006505658,0.0004370709],"domain_scores_gemma":[0.9974407,0.0001977218,0.0002838483,0.00009422158,0.00142543,0.0005580451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009006006,0.0002837761,0.1619617,0.0006317242,0.0002440927,0.0006589539,0.004834719,0.001696709,0.004907839,0.1543251,0.3400704,0.3294844],"study_design_scores_gemma":[0.00007642998,0.0001111445,0.4955555,0.0002866287,0.0001750357,0.0001745282,0.004647219,0.001418008,0.00350695,0.008603319,0.4853573,0.00008809107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4113944,0.008240681,0.001589785,0.08378489,0.000607199,0.0001457724,0.01448953,0.000408445,0.4793394],"genre_scores_gemma":[0.881023,0.004596937,0.001093286,0.00394169,0.00009798721,0.00002908931,0.002077069,0.00005486163,0.1070861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0263539,"threshold_uncertainty_score":0.1912118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04404609414423943,"score_gpt":0.3635323676046134,"score_spread":0.3194862734603739,"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."}}