{"id":"W4322496099","doi":"10.1111/add.16175","title":"Seasonal, weekly and other cyclical patterns in deaths due to drug poisoning in England and Wales","year":2023,"lang":"en","type":"article","venue":"Addiction","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Dalhousie University; National Institute for Health and Care Research; National Institute for Health and Care Research Applied Research Collaboration Oxford and Thames Valley; Office for National Statistics","keywords":"Medicine; Demography; Poisson regression; Death certificate; Names of the days of the week; Confidence interval; Weekend effect; Epidemiology; Poison control; Seasonality; Cause of death; Population; Environmental health; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009867554,0.00008256591,0.0001351872,0.0001661685,0.00002319825,0.00001217385,0.00001407782,0.00004120512,0.00002491392],"category_scores_gemma":[0.0000364111,0.00007377261,0.00001209107,0.0001799262,0.0000101452,0.00004131076,0.00002511522,0.00008453224,0.0000245878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004894971,"about_ca_system_score_gemma":0.00001262213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009899522,"about_ca_topic_score_gemma":0.002202545,"domain_scores_codex":[0.9994232,0.00002873138,0.0001099768,0.0001966016,0.00009428157,0.000147217],"domain_scores_gemma":[0.9997666,0.00006375254,0.00001341209,0.00007584997,0.000007457058,0.00007293536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006896294,0.00006669492,0.9678748,0.00002308778,0.00001455037,0.0000828057,0.004698845,0.000007266571,0.0002389644,0.00001913867,0.0002187137,0.02668619],"study_design_scores_gemma":[0.00180905,0.00009550574,0.9918194,0.0002061756,0.00001793591,0.00002457268,0.0006765046,0.0008045813,0.0001136699,0.00003789814,0.004330629,0.00006411336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967895,0.0002876731,0.00001219224,0.002399817,0.00004356351,0.0002488534,0.00001822767,0.00005221839,0.0001479126],"genre_scores_gemma":[0.9992211,0.0001445267,0.00007044036,0.0002356456,0.00004838957,0.00005529228,0.00003084188,0.00001547596,0.0001783015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02662208,"threshold_uncertainty_score":0.300836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247326953591322,"score_gpt":0.271040844198759,"score_spread":0.2585675746628458,"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."}}