{"id":"W4385248139","doi":"10.21203/rs.3.rs-3112387/v1","title":"Unemployment and opioid overdose death patterns in the United States from 2017 to 2019","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Opioid overdose; Unemployment; Poisson regression; Opioid; Demography; Medicine; Confounding; Drug overdose; Geographic variation; Demographic economics; Poison control; Environmental health; Economics; Population; Internal medicine; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004936346,0.0001771501,0.000254122,0.001044791,0.0006388918,0.000597897,0.0003377467,0.000272987,0.001902125],"category_scores_gemma":[0.002092682,0.0001306862,0.0005444976,0.001254307,0.0002350825,0.0004882702,0.001423565,0.0004702231,0.0002402066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169608,"about_ca_system_score_gemma":0.0009628888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08077492,"about_ca_topic_score_gemma":0.139779,"domain_scores_codex":[0.9996852,0.00007266256,0.00004690051,0.00005543212,0.00004716565,0.00009256011],"domain_scores_gemma":[0.9987685,0.0001280765,0.0005342905,0.00004688755,0.0003011958,0.0002210303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008399862,0.00002103634,0.9922929,0.00006170858,0.00006385508,0.00005001238,0.0004009204,0.0003145888,0.0001027357,0.00009121921,0.002480238,0.004036924],"study_design_scores_gemma":[0.000002411125,0.00002050545,0.9970613,0.00005779756,0.00001752835,0.00004016135,0.001287527,0.0003972794,0.0000385958,0.00004938588,0.001021694,0.00000587848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884063,0.0005885437,0.0001545753,0.0006514534,0.00003986581,0.00002065331,0.00902274,0.00001808463,0.001097811],"genre_scores_gemma":[0.9925858,0.0003297502,0.0001395993,0.0001322575,0.0000232751,0.0000390213,0.006401359,0.000006053322,0.0003429216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08077492,"threshold_uncertainty_score":0.1606095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225334139682949,"score_gpt":0.436255276763758,"score_spread":0.313721862795463,"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."}}