{"id":"W3212116447","doi":"10.2196/30130","title":"A Patient Outcomes–Driven Feedback Platform for Emergency Medicine Clinicians: Human-Centered Design and Usability Evaluation of Linking Outcomes Of Patients (LOOP)","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Usability; Medicine; Emergency department; Medical emergency; Set (abstract data type); Health care; MEDLINE; Human-in-the-loop; Nursing; Computer science; Human–computer interaction","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003120481,0.0003354504,0.001243837,0.0002138215,0.000585652,0.000003251273,0.0002085207,0.0003514522,0.0009908117],"category_scores_gemma":[0.001967395,0.0002634131,0.0002135274,0.0002484189,0.0001157882,0.000173296,0.0001304181,0.0004688281,0.000004203641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006243038,"about_ca_system_score_gemma":0.0005333637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004023615,"about_ca_topic_score_gemma":0.001333432,"domain_scores_codex":[0.9930429,0.00135498,0.003305212,0.0005470673,0.001059485,0.0006903892],"domain_scores_gemma":[0.9936649,0.001517392,0.002003333,0.0006411453,0.001971467,0.0002017323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004799041,0.0004466791,0.9836034,0.001408641,0.0001325635,8.462038e-8,0.0116608,0.000007070801,0.0003148051,0.0002069853,0.0006916582,0.001479287],"study_design_scores_gemma":[0.004742655,0.001220888,0.9867856,0.000637395,0.0001411566,5.90589e-8,0.003846024,0.0002237793,0.0001419382,0.00152533,0.0005172133,0.0002179638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991227,0.000121993,0.0002186146,0.0001404646,0.001359956,0.006513939,0.0000963789,0.00004123147,0.0002804197],"genre_scores_gemma":[0.9984583,0.00001761597,0.0001553994,0.00009073329,0.00006972951,0.0006126227,0.0002928468,0.00004855566,0.0002541933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007814774,"threshold_uncertainty_score":0.9999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2959400981417825,"score_gpt":0.5150731993354806,"score_spread":0.2191331011936981,"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."}}