{"id":"W7083417954","doi":"10.1097/cxa.0000000000000244","title":"The Unseen Addiction: Improving Surveillance and Governance of Medical Cannabis in Canada","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Addiction","topic":"Agriculture, Water, and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Corporate governance; Government (linguistics); Cannabis; Clinical governance; Medical cannabis; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00468122,0.0002163711,0.0004491859,0.002746172,0.006021675,0.005290937,0.003007295,0.001794979,0.004541776],"category_scores_gemma":[0.02085863,0.0004833005,0.0004945646,0.004127103,0.003167835,0.001729232,0.003837271,0.002970462,0.0001804947],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1091918,"about_ca_system_score_gemma":0.3650323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9955232,"about_ca_topic_score_gemma":0.9978319,"domain_scores_codex":[0.9930518,0.001352131,0.0003544382,0.0005199277,0.002102833,0.002618943],"domain_scores_gemma":[0.9620615,0.00464154,0.003932843,0.0007133435,0.0127242,0.01592647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001927247,0.0003301402,0.6103685,0.0008101721,0.0003260289,0.0009261774,0.01567432,0.005956506,0.001515395,0.06191044,0.1282861,0.1737036],"study_design_scores_gemma":[0.00007410984,0.0001506992,0.7526938,0.001531284,0.0001507087,0.0002640071,0.02546389,0.01105533,0.0007355195,0.01616168,0.1914188,0.0003001594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4466675,0.0137337,0.005144229,0.4629645,0.0007585625,0.0007282331,0.006305119,0.0002476762,0.06345043],"genre_scores_gemma":[0.970005,0.00453932,0.002337478,0.01555454,0.0001725264,0.00009702861,0.0007294882,0.00004775485,0.006516827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8908082,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003576272143221833,"score_gpt":0.1868595982971419,"score_spread":0.1832833261539201,"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."}}