{"id":"W3121643826","doi":"","title":"Canadian Legalization of Cannabis Reduces Both its Cash Usage and 'Black' Economy","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Cannabis; Cash; Payment; Business; Fell; 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":[0.0008515526,0.0002108823,0.0002467099,0.001785462,0.003685506,0.002202941,0.000735494,0.0005573144,0.02091496],"category_scores_gemma":[0.004442867,0.000170252,0.0004766537,0.00146728,0.001629756,0.0006086456,0.001368699,0.0009358886,0.00151781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02661308,"about_ca_system_score_gemma":0.06567989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98384,"about_ca_topic_score_gemma":0.9928623,"domain_scores_codex":[0.9986613,0.0000643159,0.00002008876,0.00005708451,0.0006967069,0.0005005194],"domain_scores_gemma":[0.9972475,0.0001447661,0.0003136124,0.0000786997,0.001521323,0.0006940982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008194675,0.0003347429,0.1866037,0.0007448042,0.0002153338,0.0006661077,0.004610075,0.0008517145,0.005941388,0.07767098,0.2915455,0.4299963],"study_design_scores_gemma":[0.00006510866,0.0001264206,0.5376194,0.0003366384,0.0001331978,0.0002106549,0.003477866,0.0005915614,0.002463653,0.003314472,0.4515817,0.00007933535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4592437,0.01046582,0.001535719,0.09399817,0.0008160513,0.0002489495,0.01312048,0.0005580377,0.420013],"genre_scores_gemma":[0.8864347,0.007017075,0.001395203,0.006649369,0.0001122505,0.00004521872,0.002159608,0.0000742787,0.09611236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02661308,"threshold_uncertainty_score":0.1930923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006373552831040343,"score_gpt":0.252732655845621,"score_spread":0.2463591030145806,"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."}}