{"id":"W4402580158","doi":"10.1097/pts.0000000000001283","title":"Using Patient Experience Surveys to Identify Potential Diagnostic Safety Breakdowns: A Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"Journal of Patient Safety","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Toronto East General Hospital; University of Toronto","funders":"Agency for Healthcare Research and Quality","keywords":"Patient safety; MEDLINE; Medicine; Computer science; Medical emergency; Data science; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0610088,0.0007059163,0.0007932096,0.004214725,0.001152565,0.002304824,0.00107799,0.000977417,0.0009330106],"category_scores_gemma":[0.08246487,0.0007858879,0.00111679,0.003494464,0.001100114,0.002308066,0.002226852,0.0008639515,0.0002975653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646991,"about_ca_system_score_gemma":0.002513632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163176,"about_ca_topic_score_gemma":0.002203394,"domain_scores_codex":[0.9096113,0.07218151,0.007987209,0.002116858,0.006727789,0.001375247],"domain_scores_gemma":[0.8974168,0.06265312,0.02336651,0.003956243,0.01094966,0.001657662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006491145,0.001748567,0.9140283,0.001204767,0.0004905991,0.0002194361,0.03390653,0.0001931471,0.0007326409,0.0002539987,0.0008960446,0.04567686],"study_design_scores_gemma":[0.0005599301,0.01243169,0.8564023,0.001948371,0.0005457661,0.001003583,0.1121702,0.004387494,0.002504468,0.0006090075,0.007251651,0.0001854515],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901105,0.0006065288,0.00439934,0.0003067211,0.00002256371,0.003140953,0.0005394934,0.00002096098,0.0008529624],"genre_scores_gemma":[0.9785406,0.0007271136,0.01103115,0.0007908,0.00005850927,0.007988899,0.0005853419,0.00001371431,0.0002638187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0610088,"threshold_uncertainty_score":0.3226492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04955137819355488,"score_gpt":0.4513355838680952,"score_spread":0.4017842056745404,"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."}}