{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005389776,0.0001885502,0.000622732,0.0002363782,0.0003848116,0.00002155433,0.0002465805,0.0002667617,0.0002541024],"category_scores_gemma":[0.001865039,0.000167735,0.00003159593,0.000971078,0.00006467466,0.0008660639,0.0002512932,0.0006337815,0.0003260456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319409,"about_ca_system_score_gemma":0.001716246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003238151,"about_ca_topic_score_gemma":0.003448731,"domain_scores_codex":[0.9943068,0.0005478181,0.002891334,0.0001451681,0.001185276,0.0009236184],"domain_scores_gemma":[0.9970289,0.0007985561,0.0009174215,0.0002965931,0.0002824424,0.0006760212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000350851,0.00002994536,0.7380966,0.001277282,0.00001551301,0.000001207217,0.2482515,0.00002637623,1.829237e-7,0.00004500296,0.007360687,0.004860661],"study_design_scores_gemma":[0.001562067,0.0004269702,0.9022086,0.0005314836,0.000005012043,3.855793e-7,0.08660097,0.0051599,0.000001081327,0.00006207849,0.003298899,0.000142517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929203,0.00007845563,0.0004147527,0.002668189,0.0004348321,0.003113365,0.0001698136,0.0001032663,0.00009705885],"genre_scores_gemma":[0.9962894,0.00009921069,0.0001151019,0.001858538,0.0001546712,0.001153985,0.0002857679,0.000013754,0.00002952038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641121,"threshold_uncertainty_score":0.6840035,"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."}}