{"id":"W4238454072","doi":"10.1197/aemj.9.11.1131","title":"The Development of Indicators to Measure the Quality of Clinical Care in Emergency Departments Following a Modified‐Delphi Approach","year":2002,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Medicine; Delphi method; Outcome (game theory); Emergency department; Delphi; Quality (philosophy); Set (abstract data type); MEDLINE; Minimum Data Set; Emergency medicine; Statistics; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2996621,0.002441959,0.00203782,0.01531728,0.002662542,0.005972246,0.002874523,0.002167965,0.001648737],"category_scores_gemma":[0.3183496,0.001839574,0.003670435,0.008481561,0.005093186,0.007061986,0.01066644,0.002653733,0.0004440607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01274552,"about_ca_system_score_gemma":0.03028369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002732281,"about_ca_topic_score_gemma":0.00253238,"domain_scores_codex":[0.5940208,0.3370505,0.03271935,0.005317532,0.02753744,0.003354488],"domain_scores_gemma":[0.7038764,0.204392,0.02139013,0.01085908,0.05710551,0.002376855],"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":[0.000935095,0.0008795219,0.0377987,0.02927586,0.001461759,0.000574134,0.1534692,0.01593887,0.00997312,0.06714825,0.008585101,0.6739604],"study_design_scores_gemma":[0.00186868,0.01204877,0.1399828,0.06702221,0.002217768,0.002524643,0.2885046,0.131608,0.02853826,0.1846678,0.1391254,0.001891079],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1563332,0.002781454,0.7198792,0.006200249,0.0004212962,0.09380379,0.001150805,0.000351794,0.01907824],"genre_scores_gemma":[0.1710543,0.001053804,0.7729739,0.0004435774,0.00003584713,0.05343437,0.0004280313,0.00003093625,0.000545206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2996621,"threshold_uncertainty_score":0.8636413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1918612842710341,"score_gpt":0.4473451454536429,"score_spread":0.2554838611826088,"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."}}