{"id":"W4387115262","doi":"10.2196/40959","title":"Successes and Barriers of Health Information Exchange Participation Across Hospitals in South Carolina From 2014 to 2020: Longitudinal Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health information exchange; Health information technology; Medicine; Referral; Logistic regression; Psychological intervention; Health care; Incentive; Odds ratio; Family medicine; Observational study; Odds; Health informatics; Interoperability; Public health; Nursing; Health information","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":[0.002603587,0.000339059,0.0003550126,0.001630979,0.001786458,0.001185663,0.001862709,0.0007290981,0.00167879],"category_scores_gemma":[0.007979494,0.0004524252,0.0008371322,0.003324436,0.000774286,0.001323701,0.0022303,0.001655954,0.0002702776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004305136,"about_ca_system_score_gemma":0.006427259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2928765,"about_ca_topic_score_gemma":0.322922,"domain_scores_codex":[0.997985,0.0004013846,0.0002843021,0.0003827541,0.0004329174,0.0005135537],"domain_scores_gemma":[0.9894121,0.001843509,0.004478292,0.0005222927,0.002184453,0.001559293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000336572,0.0000680657,0.9977609,0.000019074,0.00003311249,0.00004791551,0.0008666699,0.0000376382,0.00004229675,0.00002509386,0.0004707688,0.0005948145],"study_design_scores_gemma":[0.000003903296,0.00004787248,0.9952888,0.00004472068,0.00001659352,0.0000365859,0.004032549,0.0002266717,0.00002791799,0.00001789509,0.0002476197,0.000008759613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980093,0.00009745378,0.00007182256,0.0001827687,0.000003622325,0.00004030253,0.001315841,0.000004247086,0.0002747268],"genre_scores_gemma":[0.9973115,0.0001178709,0.0001413759,0.0001424694,0.000004939609,0.0001461699,0.001940869,0.000003584629,0.0001913019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2928765,"threshold_uncertainty_score":0.5823435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107605023907831,"score_gpt":0.4821518509697725,"score_spread":0.3745468270619416,"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."}}