{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003476671,0.0001772956,0.000540434,0.000143816,0.0004829862,0.000008852226,0.0001606904,0.0003159127,0.0004073416],"category_scores_gemma":[0.0005785589,0.0001578749,0.00003283138,0.000516238,0.00004570852,0.0002153308,0.000162842,0.001167206,0.00009932297],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357621,"about_ca_system_score_gemma":0.008675164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001377787,"about_ca_topic_score_gemma":0.0007078729,"domain_scores_codex":[0.993186,0.001132196,0.003609789,0.000181881,0.001116195,0.0007739586],"domain_scores_gemma":[0.9969791,0.000453892,0.00137461,0.0003644701,0.0003952043,0.0004326892],"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":[0.0001137322,0.001186713,0.1303495,0.004418178,0.0002091076,0.000006024909,0.2965987,0.000003018521,0.00001844654,0.003765823,0.004141415,0.5591894],"study_design_scores_gemma":[0.01053657,0.003286818,0.2967761,0.004641634,0.00006069608,0.00007582892,0.3602053,0.01080573,0.0001665693,0.0005725314,0.3119382,0.0009340658],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926881,0.0002499781,0.0009725742,0.001240953,0.000437319,0.00244377,0.000004947999,0.00008428669,0.001878026],"genre_scores_gemma":[0.9968425,0.00032674,0.0007942989,0.001169953,0.00005074961,0.0003988945,0.0001706924,0.0000216006,0.0002245673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582553,"threshold_uncertainty_score":0.9969447,"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."}}