{"id":"W1989304718","doi":"10.1108/08876040410561866","title":"A dimension‐specific analysis of performance‐only measurement of service quality and satisfaction in China's retail banking","year":2004,"lang":"en","type":"article","venue":"Journal of Services Marketing","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Service quality; Marketing; Business; Context (archaeology); Dimension (graph theory); Service (business); Customer satisfaction; Quality (philosophy); Scale (ratio); Retail banking; Services marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085553,0.0002547092,0.0003300451,0.001467147,0.0003971622,0.0006529205,0.0002218949,0.0001979366,0.001013493],"category_scores_gemma":[0.003061603,0.0001341594,0.0006248117,0.002275408,0.0004878483,0.0004829598,0.0008078922,0.0003091802,0.00008455021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035882,"about_ca_system_score_gemma":0.001138551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898935,"about_ca_topic_score_gemma":0.01844212,"domain_scores_codex":[0.9991267,0.0002870387,0.00007691072,0.00009786268,0.0002594497,0.0001520631],"domain_scores_gemma":[0.9978629,0.0007178748,0.0004464887,0.0002181812,0.0005564983,0.000198131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004214224,0.00002820637,0.9873766,0.00001436356,0.00004841327,0.00003398965,0.0002798296,0.0006079611,0.0006484386,0.0003199185,0.00007695703,0.01052331],"study_design_scores_gemma":[0.000002048795,0.00005048863,0.9961321,0.000002791502,0.00002028721,0.00002226282,0.0002618445,0.003149994,0.0001611451,0.00009877966,0.0000947052,0.000003440976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990134,0.00002332328,0.0003978686,0.0000176103,0.000001273566,0.000006413798,0.00004464384,0.00000265835,0.0004926577],"genre_scores_gemma":[0.9997198,0.000009027059,0.0001143516,0.000005029766,0.00000122937,0.000005380884,0.0000902653,5.914929e-7,0.00005438212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898935,"threshold_uncertainty_score":0.03775764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03093783393848104,"score_gpt":0.2518018271904423,"score_spread":0.2208639932519613,"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."}}