{"id":"W4413601611","doi":"10.64628/aai.a6tqwmxp9","title":"Increases in opioid overdoses in Pennsylvania varied by county during the COVID-19 pandemic","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Opioid; Opioid epidemic; Medicine; Emergency medicine; Geography; Virology; Internal medicine; Outbreak","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":[0.0002912878,0.0001184756,0.0001652755,0.0008740828,0.0007218177,0.0007044718,0.0003076941,0.0004989243,0.003290603],"category_scores_gemma":[0.002369397,0.0002194172,0.0002435561,0.001000934,0.0002574513,0.0008499954,0.001095233,0.0007537172,0.0002759016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001542,"about_ca_system_score_gemma":0.0008286866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06938485,"about_ca_topic_score_gemma":0.1688775,"domain_scores_codex":[0.9995838,0.0001027741,0.0000300059,0.0001041934,0.00005130706,0.0001278354],"domain_scores_gemma":[0.9983433,0.0003293155,0.0006071839,0.00005884458,0.000374715,0.0002865146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001463939,0.00004648919,0.9921573,0.00001846549,0.00003697506,0.00005904535,0.0005208829,0.000125127,0.0001846186,0.00007299901,0.0021154,0.004516246],"study_design_scores_gemma":[0.000003333477,0.00003850229,0.9967136,0.00001721919,0.00001077213,0.00005343332,0.001963997,0.0002095396,0.00008442186,0.00002868914,0.0008723686,0.000004049799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994823,0.0001826811,0.00009720632,0.0005819226,0.00001798615,0.00001493942,0.002658287,0.00001276048,0.001611159],"genre_scores_gemma":[0.9971667,0.0001607879,0.0001359115,0.0001801559,0.00002271305,0.00001882683,0.001536481,0.000006954771,0.0007714277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06938485,"threshold_uncertainty_score":0.137962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133967731742059,"score_gpt":0.3256082831416084,"score_spread":0.2842686058241878,"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."}}