{"id":"W4220857304","doi":"10.1016/j.abrep.2022.100423","title":"Home cultivation across Canadian provinces after cannabis legalization","year":2022,"lang":"en","type":"article","venue":"Addictive Behaviors Reports","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Canadian Centre on Substance Use and Addiction; University of Waterloo","funders":"Canadian Institutes of Health Research; University of Waterloo; Mitacs","keywords":"Legalization; Cannabis; Logistic regression; Odds; Demography; Medicine; Geography; Environmental health; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004541996,0.0001914026,0.0002509092,0.0002814049,0.0006046813,0.00006408429,0.00008027869,0.00008444078,0.002551527],"category_scores_gemma":[0.0000805925,0.0001881352,0.0001358153,0.0006618382,0.0001260265,0.0002106355,0.0001205029,0.0004009446,0.000007447491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686883,"about_ca_system_score_gemma":0.001837943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1799078,"about_ca_topic_score_gemma":0.08132446,"domain_scores_codex":[0.9974617,0.00007824045,0.000419511,0.0005474025,0.0009009877,0.0005921217],"domain_scores_gemma":[0.998511,0.000001266984,0.0001685134,0.0004428083,0.000415292,0.0004611607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001791841,0.000261251,0.9020416,0.0000323184,0.00004714153,0.006692511,0.00296358,0.00006002992,0.001182475,0.0000341795,0.0783472,0.008158584],"study_design_scores_gemma":[0.0002696617,0.0002971275,0.7878204,0.00001694403,0.00005196985,0.0009769745,0.001107334,0.00002589258,0.0005982328,0.00001688487,0.2086323,0.000186209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920233,0.000204893,0.00001769036,0.00412245,0.0004585318,0.001135379,0.0002745411,0.00007525027,0.00168791],"genre_scores_gemma":[0.9545762,0.000004180135,0.00001873735,0.0003052592,0.0001042245,0.001951121,0.0005123701,0.00004766296,0.04248023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302851,"threshold_uncertainty_score":0.9983603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009589997619514882,"score_gpt":0.2953788711812337,"score_spread":0.2857888735617188,"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."}}