{"id":"W4220865765","doi":"10.1111/dar.13465","title":"Interrupted time series analysis of Canadian legal cannabis sales during the <scp>COVID</scp>‐19 pandemic","year":2022,"lang":"en","type":"article","venue":"Drug and Alcohol Review","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Canadian Centre on Substance Use and Addiction; Public Health Ontario; University of Toronto; Ottawa Hospital; Brock University","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research","keywords":"Pandemic; Demography; Per capita; Confidence interval; Coronavirus disease 2019 (COVID-19); Jurisdiction; Interrupted time series; Demographic economics; Cannabis; Medicine; Geography; Economics; Business; Psychological intervention; Political science; Population; Law","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":[0.002176862,0.0004026209,0.0004147628,0.00111448,0.000638132,0.001025778,0.001074423,0.000452845,0.00365437],"category_scores_gemma":[0.00957601,0.0001967998,0.0008466307,0.002582836,0.0005069954,0.0003270866,0.0004629232,0.001105715,0.0003245429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007436224,"about_ca_system_score_gemma":0.008038227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9448887,"about_ca_topic_score_gemma":0.8698756,"domain_scores_codex":[0.9989303,0.0002067334,0.00006455732,0.0001804655,0.0003543816,0.0002635276],"domain_scores_gemma":[0.9954869,0.001198601,0.001199834,0.0003611571,0.001405826,0.0003476861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005856353,0.0001014791,0.9592345,0.0001194946,0.0005530746,0.0002678437,0.000789039,0.01758307,0.0004994626,0.001899733,0.006527497,0.01183918],"study_design_scores_gemma":[0.00002157935,0.00007762852,0.959242,0.00003821106,0.0001353958,0.00005257455,0.0005458412,0.03581731,0.0002044625,0.0002582155,0.003572157,0.00003462573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774355,0.0005438865,0.002140458,0.0008190286,0.00005720081,0.00005912252,0.01618144,0.00006517919,0.002698169],"genre_scores_gemma":[0.987808,0.0002648108,0.0007075151,0.00007118809,0.00001827669,0.00003457163,0.00956603,0.00001204422,0.001517598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05511135,"threshold_uncertainty_score":0.1108718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679133428644655,"score_gpt":0.3074328426731038,"score_spread":0.2806415083866573,"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."}}