{"id":"W3178509406","doi":"10.2196/30470","title":"Classification of Electronic Health Record–Related Patient Safety Incidents: Development and Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Patient safety; Sociotechnical system; Computer science; Incident report; Electronic health record; Health information technology; Health informatics; Health care; Data mining; Medicine; Medical emergency; Knowledge management; Computer security; Nursing; Public health","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":[0.0753344,0.00110126,0.00100695,0.007372599,0.001818984,0.002245425,0.002646572,0.001273784,0.001056741],"category_scores_gemma":[0.1485571,0.0007240502,0.002178141,0.00379285,0.002125946,0.002778532,0.003570231,0.001426967,0.0007225131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004054053,"about_ca_system_score_gemma":0.01055833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005821985,"about_ca_topic_score_gemma":0.006086966,"domain_scores_codex":[0.9410266,0.02692835,0.01059361,0.005076452,0.01485125,0.001523735],"domain_scores_gemma":[0.7485271,0.0849393,0.01644604,0.02287701,0.1252157,0.001994902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009325694,0.007204274,0.6283495,0.001831713,0.0003588807,0.0004421605,0.03332023,0.002177617,0.006691561,0.001195752,0.002606223,0.3148894],"study_design_scores_gemma":[0.0007237633,0.007637042,0.883588,0.002192564,0.0007379784,0.001310488,0.03400372,0.02676885,0.02375857,0.001313463,0.01767197,0.0002936511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367114,0.0001976475,0.0402401,0.0001893718,0.0001086517,0.01828522,0.0008752876,0.0002224234,0.003169882],"genre_scores_gemma":[0.7935005,0.0003497553,0.1771549,0.0001898054,0.00005493209,0.02208243,0.005137415,0.0001171151,0.001413007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0753344,"threshold_uncertainty_score":0.3984112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434390159552931,"score_gpt":0.416460875426154,"score_spread":0.3730218594708609,"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."}}