{"id":"W4289222592","doi":"10.1111/add.16011","title":"Alcohol sales in Canadian liquor outlets as a predictor of subsequent COVID‐19 infection rates: a time‐series analysis","year":2022,"lang":"en","type":"article","venue":"Addiction","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Public Health Ontario; University of Toronto; University of Victoria","funders":"Institute of Population and Public Health; Public Health Agency of Canada; Centre for Addiction and Mental Health","keywords":"Coronavirus disease 2019 (COVID-19); Per capita; Public health; Government (linguistics); Demography; Consumption (sociology); Pandemic; Medicine; Business; Environmental health; Population; 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":[0.0006174861,0.0001215162,0.0003258603,0.001217254,0.0002226332,0.000009315178,0.00004394097,0.00008387072,0.003764156],"category_scores_gemma":[0.0003347759,0.0001294994,0.0001258589,0.001172782,0.00005803685,0.000105163,0.00002367085,0.0002548514,0.0001006234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440211,"about_ca_system_score_gemma":0.001401603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.240656,"about_ca_topic_score_gemma":0.2398654,"domain_scores_codex":[0.9985684,0.0002324373,0.0003613044,0.0002528107,0.0003000372,0.000284993],"domain_scores_gemma":[0.9989998,0.00007135612,0.0001491234,0.0002155713,0.00007771439,0.0004863956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008630237,0.0002126951,0.9870125,0.0001692638,0.0005519042,0.0001004378,0.001616064,0.001358889,0.002088706,0.0003556682,0.0047367,0.0009341489],"study_design_scores_gemma":[0.001905706,0.0009591328,0.9120425,0.00004175431,0.0006935311,0.0001050889,0.0001658421,0.003290823,0.0002585004,0.00004650908,0.08034041,0.0001502068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948401,0.0003158733,0.00004931536,0.002648151,0.0002059608,0.0007565829,0.0001282841,0.00009196141,0.0009637469],"genre_scores_gemma":[0.9963986,0.0001542856,0.00003150245,0.001419943,0.00005537695,0.0002693135,0.0007275993,0.00001539778,0.0009279894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07560371,"threshold_uncertainty_score":0.9971465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04845872038144798,"score_gpt":0.3557557155023003,"score_spread":0.3072969951208523,"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."}}