{"id":"W2612033635","doi":"","title":"Comparative Cannabis: Approaches to Marijuana Agriculture Regulation in the United States and Canada","year":2017,"lang":"en","type":"article","venue":"","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Legislature; Agriculture; Government (linguistics); Political science; Cannabis; Equity (law); State (computer science); Business; Public administration; Law; Geography; 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":[0.001941921,0.0003621087,0.0002756111,0.003575641,0.0187451,0.009319905,0.001811625,0.003537644,0.006886161],"category_scores_gemma":[0.002902179,0.0003474097,0.0005620324,0.005160757,0.01211321,0.001895685,0.001996066,0.003321173,0.0003139638],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1627414,"about_ca_system_score_gemma":0.2251783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924814,"about_ca_topic_score_gemma":0.9970312,"domain_scores_codex":[0.9966313,0.0004391329,0.0000782705,0.0003305597,0.001423368,0.001097362],"domain_scores_gemma":[0.9980456,0.0005742495,0.00009665733,0.00005449366,0.0009168939,0.0003121113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005560218,0.00004941292,0.003474591,0.0002312098,0.00002538078,0.0006733757,0.01259551,0.0007295882,0.0008214496,0.8807169,0.06377293,0.03685403],"study_design_scores_gemma":[0.00003060261,0.00004724607,0.02169393,0.0007439402,0.00007946301,0.0002540068,0.02338551,0.0005445579,0.0008796337,0.02816419,0.924037,0.0001398685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03924999,0.09298059,0.00147383,0.1150764,0.001466535,0.0001505371,0.0007334387,0.00005664027,0.7488121],"genre_scores_gemma":[0.6559123,0.09772105,0.003308006,0.05138902,0.0004844192,0.0001982866,0.0003990381,0.00005669489,0.1905312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1627414,"threshold_uncertainty_score":0.9711013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0814349930812824,"score_gpt":0.299184944935519,"score_spread":0.2177499518542366,"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."}}