{"id":"W1647747847","doi":"10.5539/gjhs.v8n2p137","title":"Performance Analysis of Hospital Managers Using Fuzzy AHP and Fuzzy TOPSIS: Iranian Experience","year":2015,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Competency Development and Evaluation","field":"Psychology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tehran University of Medical Sciences and Health Services","keywords":"TOPSIS; Analytic hierarchy process; Viewpoints; Organizational performance; Fuzzy logic; Performance measurement; Operations management; Employee Performance Appraisal; Computer science; Knowledge management; Psychology; Process management; Operations research; Medicine; Nursing; Business; Marketing; Mathematics; Artificial intelligence; Engineering","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":[0.004703517,0.000442771,0.0003105856,0.001674251,0.0008713183,0.001052264,0.0004793948,0.0003576855,0.00136399],"category_scores_gemma":[0.005500187,0.0001155828,0.0005004141,0.00164376,0.0004587181,0.0008366729,0.0005094652,0.0004110872,0.0001467164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573673,"about_ca_system_score_gemma":0.001815985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006644253,"about_ca_topic_score_gemma":0.00512439,"domain_scores_codex":[0.99773,0.001106002,0.0001576338,0.0001099842,0.000699589,0.000196865],"domain_scores_gemma":[0.9983709,0.0007131796,0.0001669219,0.0000533512,0.0006148986,0.00008060609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000723572,0.001223939,0.1245702,0.001128414,0.0002698436,0.0007874813,0.02280069,0.1023888,0.009076938,0.01394121,0.006910193,0.7161787],"study_design_scores_gemma":[0.0002144083,0.004589562,0.1897525,0.0006288012,0.0004059307,0.0009953389,0.04895736,0.6914176,0.01925194,0.01990232,0.02362826,0.0002559152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131786,0.001133539,0.07147191,0.0008729188,0.0000732909,0.0003327001,0.0001281344,0.0001190705,0.01268989],"genre_scores_gemma":[0.9728127,0.0003873685,0.02597505,0.0000202199,0.00001685356,0.0000576953,0.00005715767,0.0000046511,0.0006684984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006644253,"threshold_uncertainty_score":0.02487493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06873771025670075,"score_gpt":0.3912018086303735,"score_spread":0.3224640983736727,"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."}}