{"id":"W2900730820","doi":"10.2196/10666","title":"A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dashboard; Usability; Workflow; Emergency department; Computer science; System usability scale; World Wide Web; Medicine; Medical emergency; Web usability; Data science; Nursing; Human–computer interaction; Database","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":[0.001648547,0.000936179,0.0006749028,0.001309685,0.003337813,0.001452644,0.001433207,0.003974854,0.002716073],"category_scores_gemma":[0.005402448,0.0006627533,0.001053341,0.001399266,0.001095608,0.00133792,0.001744281,0.00209762,0.0006545219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002201154,"about_ca_system_score_gemma":0.001720466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008614619,"about_ca_topic_score_gemma":0.01800334,"domain_scores_codex":[0.9982011,0.000569484,0.0001989568,0.0002041249,0.000309101,0.0005171553],"domain_scores_gemma":[0.9970228,0.0007022095,0.0004797466,0.0001593889,0.0002760665,0.001359845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0004469734,0.01134637,0.2016865,0.00057304,0.0001701052,0.6988645,0.02636117,0.002050586,0.001757571,0.001075457,0.01031846,0.04534923],"study_design_scores_gemma":[0.000357144,0.009933529,0.2734216,0.0008525481,0.0002660118,0.5606689,0.09098163,0.0123577,0.004479152,0.001244656,0.04490731,0.0005299244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948059,0.0006274864,0.001595676,0.001073896,0.00007396322,0.0001907343,0.0001246032,0.00004056964,0.001467223],"genre_scores_gemma":[0.9935305,0.0009895175,0.001893742,0.0009406726,0.00008158229,0.0001169048,0.0001465047,0.00003721879,0.002263505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008614619,"threshold_uncertainty_score":0.01712894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09888408204432925,"score_gpt":0.4865314553043154,"score_spread":0.3876473732599861,"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."}}