{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042733,0.0001730541,0.0006799002,0.0006699382,0.0003975422,0.00003181746,0.0002300075,0.00002945643,0.0007577509],"category_scores_gemma":[0.0002811411,0.0001206762,0.000308092,0.002467466,0.000175251,0.00006545429,0.0001754289,0.0003822269,0.000009984306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002333099,"about_ca_system_score_gemma":0.0006461252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05443277,"about_ca_topic_score_gemma":0.03519491,"domain_scores_codex":[0.9982269,0.0002406023,0.0003968249,0.0003156301,0.0004306064,0.0003894677],"domain_scores_gemma":[0.9988659,0.0000288511,0.000122,0.0004440038,0.0001114313,0.0004278157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004955815,0.0001251184,0.1942563,0.007032192,0.002687467,0.0003159237,0.00328057,0.00008154455,0.002683309,0.0003432586,0.7786683,0.0104764],"study_design_scores_gemma":[0.0002921508,0.0000558941,0.05533058,0.0002564227,0.00110526,0.0002251135,0.0007260643,0.00007420721,0.00002575835,0.000005066986,0.941845,0.00005846349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.840452,0.1395171,4.253103e-7,0.0167113,0.00005089763,0.0007651591,0.0002968618,0.00003530281,0.002170965],"genre_scores_gemma":[0.7557237,0.07412302,0.00001057926,0.004688864,0.00008865902,0.0003732192,0.0003140102,0.00004178635,0.1646362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1631766,"threshold_uncertainty_score":0.9824103,"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."}}