{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005135231,0.0004176379,0.0007732016,0.0001764228,0.005765347,0.00001937301,0.0003290277,0.0003152055,0.0005188387],"category_scores_gemma":[0.0001824744,0.0002977153,0.00009801859,0.0004828661,0.0001328693,0.0001355175,0.0001404407,0.0008943802,0.0005556358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008111536,"about_ca_system_score_gemma":0.00360236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070482,"about_ca_topic_score_gemma":0.0117315,"domain_scores_codex":[0.9927422,0.001643407,0.00187644,0.0008688659,0.0003878066,0.002481242],"domain_scores_gemma":[0.9952745,0.00129634,0.000851077,0.001029592,0.0004228642,0.001125642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003623907,0.002671762,0.2448672,0.01673606,0.0004588358,0.0003338275,0.1371099,0.000002224178,0.00005662148,0.007792832,0.5126107,0.07373621],"study_design_scores_gemma":[0.01942646,0.02712589,0.1445359,0.0004944882,0.0008393727,0.001128925,0.08631887,0.007640458,0.000005066193,0.001463604,0.7091268,0.00189412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720701,0.0007188408,0.0001363783,0.00541875,0.002534999,0.01542864,0.0001269574,0.0003852075,0.00318016],"genre_scores_gemma":[0.9822307,0.001223697,0.0004111211,0.001852841,0.003669376,0.005702218,0.00002696649,0.0001205822,0.004762532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1965162,"threshold_uncertainty_score":0.9999475,"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."}}