{"id":"W1988435882","doi":"10.1016/j.drugpo.2014.09.007","title":"Medical Marijuana programs: Implications for cannabis control policy – Observations from Canada","year":2014,"lang":"en","type":"article","venue":"International Journal of Drug Policy","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Simon Fraser University; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Legalization; Cannabis; Decriminalization; Government (linguistics); Drug control; Business; Political science; Law; Public administration; Medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001561726,0.0002585528,0.0006007623,0.001492124,0.009361094,0.004478571,0.002098342,0.002120007,0.00871465],"category_scores_gemma":[0.00833689,0.000498969,0.0007279824,0.006146266,0.002679452,0.00117536,0.001604157,0.003225232,0.0003702417],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1463719,"about_ca_system_score_gemma":0.2238892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993277,"about_ca_topic_score_gemma":0.9997206,"domain_scores_codex":[0.9961435,0.0002950296,0.0001181238,0.0002160777,0.001272164,0.00195511],"domain_scores_gemma":[0.9910582,0.001354346,0.001026315,0.0001828734,0.004443361,0.00193491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001271935,0.001212801,0.688274,0.0006715358,0.0005108229,0.001835356,0.03635269,0.005944889,0.001566775,0.06831838,0.1227352,0.07130558],"study_design_scores_gemma":[0.0002960718,0.0001195305,0.8042915,0.0004964605,0.0002777216,0.000170042,0.08429333,0.003487718,0.0008804451,0.003401957,0.1021019,0.0001833164],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8890728,0.003216431,0.0003122488,0.05375054,0.00009466078,0.0002048022,0.004463251,0.00003119385,0.04885409],"genre_scores_gemma":[0.9800678,0.001972014,0.0003059799,0.004401058,0.00002638601,0.00003073995,0.0008319078,0.00002065013,0.01234352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1463719,"threshold_uncertainty_score":0.9900876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920933667822454,"score_gpt":0.3439156389952784,"score_spread":0.3247063023170538,"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."}}