{"id":"W4229442221","doi":"10.3390/healthcare10050876","title":"Dynamic Performance Assessment of Hospitals by Applying Credibility-Based Fuzzy Window Data Envelopment Analysis","year":2022,"lang":"en","type":"article","venue":"Healthcare","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Data envelopment analysis; Credibility; Computer science; Ambiguity; Ranking (information retrieval); Fuzzy logic; Operations research; Fuzzy set; Window (computing); Set (abstract data type); Data mining; Artificial intelligence; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01156394,0.0002304086,0.0008140184,0.001007932,0.0009098604,0.0001069965,0.002846715,0.00006309284,0.0005168704],"category_scores_gemma":[0.0004846802,0.0002056921,0.0002457985,0.006435447,0.000146584,0.0002716337,0.001064616,0.0004418252,0.00001514855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005500187,"about_ca_system_score_gemma":0.0009909731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005167992,"about_ca_topic_score_gemma":0.000270251,"domain_scores_codex":[0.9911672,0.00101646,0.001603768,0.001413804,0.004289689,0.0005091099],"domain_scores_gemma":[0.9941279,0.0008420294,0.0009346108,0.003473721,0.000427709,0.0001940316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002381821,0.000285013,0.8751422,0.00007001886,0.0001828486,0.000005053109,0.000388151,0.08374199,0.0002716685,0.000069531,0.001410253,0.03840949],"study_design_scores_gemma":[0.0002725259,0.0001881843,0.2808466,0.00001375027,0.0001788737,9.036885e-7,0.001757625,0.7102841,0.00006304291,0.0001913478,0.005947386,0.0002557289],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798241,0.000830951,0.01242998,0.004367262,0.0003198512,0.0006273059,0.001192429,0.00005832418,0.0003497681],"genre_scores_gemma":[0.9917766,0.0000314793,0.006401345,0.0006162808,0.00001091359,0.0001146875,0.000878333,0.00001543091,0.0001549484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6265421,"threshold_uncertainty_score":0.838788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09341739679581333,"score_gpt":0.4291184265689504,"score_spread":0.3357010297731371,"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."}}