{"id":"W4313639899","doi":"10.21203/rs.3.rs-2437152/v1","title":"Opioid crisis in rural and urban counties from 2010 to 2018: in light of the index of relative rurality","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":"Mount Saint Vincent University","funders":"","keywords":"Rurality; Heroin; Medicine; Opioid overdose; Rural area; Geography; Environmental health; Urbanization; Opioid; Demography; Socioeconomics; Economic growth; Psychiatry","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":[0.0003855656,0.0001302095,0.0001752332,0.001018125,0.0004202957,0.0008090498,0.0003604862,0.0001998261,0.001838741],"category_scores_gemma":[0.002364434,0.0001098119,0.0002826392,0.001643656,0.0003182298,0.0007567728,0.001464327,0.0006980078,0.0002224898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005955396,"about_ca_system_score_gemma":0.0005701198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03397053,"about_ca_topic_score_gemma":0.05950632,"domain_scores_codex":[0.9996836,0.00008043966,0.000024142,0.00006362355,0.00004455827,0.0001035719],"domain_scores_gemma":[0.998314,0.0002178535,0.000737249,0.00004019613,0.0003477854,0.0003429239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005992418,0.00002648212,0.9955798,0.00002072716,0.00002898379,0.00009417385,0.0005745087,0.0001307694,0.00006297993,0.0001600054,0.00149949,0.001762219],"study_design_scores_gemma":[0.000002611306,0.00001992684,0.9951041,0.00001290085,0.000009523973,0.00005444639,0.003540682,0.0003102882,0.00002815554,0.00005909914,0.0008539589,0.000004220333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958085,0.0001878251,0.00008237021,0.0006558797,0.00001673722,0.000009898871,0.002399155,0.000005336711,0.0008343305],"genre_scores_gemma":[0.9979488,0.0001208652,0.00005340473,0.00005723353,0.00001517748,0.0000172219,0.001525176,0.000003128913,0.0002589553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03397053,"threshold_uncertainty_score":0.06754559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05132464038657364,"score_gpt":0.3799024211605569,"score_spread":0.3285777807739833,"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."}}