{"id":"W2912644110","doi":"10.2196/13121","title":"Computerized Clinical Decision Support System for Emergency Department–Initiated Buprenorphine for Opioid Use Disorder: User-Centered Design","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Complementary and Integrative Health; National Institute on Drug Abuse; National Institutes of Health","keywords":"Buprenorphine; Opioid use disorder; Emergency department; Medicine; Clinical decision support system; Medical emergency; Decision support system; Opioid; Psychiatry; Computer science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02057232,0.001172299,0.0007622256,0.00133302,0.000918047,0.002601793,0.002246634,0.001077141,0.005094755],"category_scores_gemma":[0.03936674,0.0008258109,0.001070064,0.0006691234,0.0008047693,0.001667932,0.001803437,0.001028862,0.0007237514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288165,"about_ca_system_score_gemma":0.003161906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008418342,"about_ca_topic_score_gemma":0.001141023,"domain_scores_codex":[0.9859707,0.009857805,0.001274282,0.00101524,0.001562133,0.0003197687],"domain_scores_gemma":[0.9621657,0.02607765,0.001750786,0.001986376,0.006960967,0.001058516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.009364946,0.006495116,0.03322962,0.008854938,0.0006348806,0.001695639,0.02575433,0.04118614,0.06483527,0.01096079,0.01221106,0.7847772],"study_design_scores_gemma":[0.01269036,0.05122792,0.04930123,0.004886307,0.00264333,0.003372103,0.01399684,0.5619329,0.1341673,0.02349559,0.1407867,0.001499516],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.330036,0.0007721369,0.6315545,0.000967339,0.0002414422,0.02558204,0.001004094,0.004739067,0.005103392],"genre_scores_gemma":[0.2725931,0.0002409256,0.7140301,0.0003246293,0.0000359771,0.0108796,0.0005694252,0.0001221914,0.001204141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02057232,"threshold_uncertainty_score":0.1087981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0900628407411295,"score_gpt":0.3764186544006914,"score_spread":0.2863558136595619,"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."}}