{"id":"W2049894978","doi":"10.5267/j.dsl.2013.12.002","title":"Performance evaluation of services quality in higher education institutions using modified SERVQUAL approach with grey analytic hierarchy process (G-AHP) and multilevel grey evaluation","year":2014,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; SERVQUAL; Quality (philosophy); Process (computing); Hierarchy; Computer science; Service quality; Management science; Process management; Operations research; Operations management; Business; Engineering; Marketing; Service (business); Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.005990589,0.0001538978,0.0001971392,0.0007023677,0.0001807597,0.0001086783,0.0002310327,0.00005792488,0.00003199199],"category_scores_gemma":[0.0001740436,0.0001356978,0.00001938661,0.0012768,0.0002081758,0.001680415,0.00002751203,0.000111426,0.000002047195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455151,"about_ca_system_score_gemma":0.000357145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003077971,"about_ca_topic_score_gemma":0.00001747376,"domain_scores_codex":[0.9967511,0.0001757548,0.0004992769,0.0003946589,0.001976738,0.0002025192],"domain_scores_gemma":[0.9983682,0.00007586261,0.0001662435,0.0003115881,0.0009927979,0.00008527971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000157117,0.0000368741,0.006649195,0.00006256351,0.000003312481,1.82137e-8,0.0008659411,0.9671933,0.002355543,0.0002261474,0.000002118971,0.02258926],"study_design_scores_gemma":[0.0007906649,0.00001114708,0.1608703,0.0001061842,0.00003451889,0.000001831146,0.0001585944,0.8374011,0.0002525905,0.0002259873,0.000002718536,0.0001443617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8839979,0.00002567979,0.1143601,0.00009537963,0.0001519372,0.0005230092,0.0000020616,0.000030938,0.000812988],"genre_scores_gemma":[0.9834825,0.000004834274,0.01614814,0.0002420315,0.00002645939,0.00006073129,0.00002095301,0.00001122982,0.000003118238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1542211,"threshold_uncertainty_score":0.5533596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1858836351245848,"score_gpt":0.3996066018077641,"score_spread":0.2137229666831793,"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."}}