{"id":"W1966763002","doi":"10.1108/02652320910979889","title":"Antecedents and consequences of buyer‐seller relationship quality in the financial services industry","year":2009,"lang":"en","type":"article","venue":"International Journal of Bank Marketing","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Business; Structural equation modeling; Quality (philosophy); Marketing; Originality; Financial services; Construct (python library); Perception; Word of mouth; Order (exchange); Value (mathematics); Similarity (geometry); Finance; Psychology; Creativity; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003824452,0.00008343576,0.0001561452,0.0002456219,0.00006322307,0.0001479315,0.0004504617,0.00008848251,0.00006651815],"category_scores_gemma":[0.0008244815,0.00006350407,0.00005794537,0.0002228111,0.00005163485,0.0007688504,0.0000491924,0.0003896888,0.000002418409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001823042,"about_ca_system_score_gemma":0.00002924638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003527757,"about_ca_topic_score_gemma":0.0002191176,"domain_scores_codex":[0.9985406,0.0001281876,0.0006383511,0.00008992857,0.0005009487,0.0001019702],"domain_scores_gemma":[0.9982898,0.0004672455,0.0008137681,0.00006898215,0.0003522555,0.000007951739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004222293,0.0001195272,0.9806947,0.0001147462,0.00002412569,0.0000334471,0.000663971,0.00007702878,0.0004417515,0.007628958,0.0001823734,0.009597206],"study_design_scores_gemma":[0.0004715378,0.000008596052,0.9890558,0.0003173387,0.00001412958,0.00002589263,0.001811265,0.0001510237,0.00001894584,0.007168399,0.0008855279,0.00007156394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896259,0.0001765567,0.00002627931,0.006062423,0.0002788144,0.00004916743,0.000001691019,0.000004559615,0.003774649],"genre_scores_gemma":[0.996483,0.00001969466,0.0001001046,0.002801281,0.0005745137,5.253036e-7,0.000002655121,0.000002904724,0.00001534147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009525642,"threshold_uncertainty_score":0.2589621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237303744519059,"score_gpt":0.3082106873761975,"score_spread":0.2758376499310069,"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."}}