{"id":"W3109852652","doi":"10.5267/j.msl.2020.11.029","title":"Customer satisfaction and trust interaction model","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Customer satisfaction; Structural equation modeling; Business; Marketing; Variables; Equity (law); Customer equity; Sample (material); Advertising; Psychology; Customer retention; Service quality; Statistics; Mathematics; Service (business)","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":[0.000281035,0.0001167606,0.00008092465,0.000238142,0.0002825171,0.0004734169,0.0001848864,0.00001344598,0.00007217039],"category_scores_gemma":[0.00002986106,0.0001156788,0.0000252776,0.0006220647,0.0001852165,0.002074673,0.0002896603,0.00009219767,0.0002313757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003349034,"about_ca_system_score_gemma":0.000002183796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059811,"about_ca_topic_score_gemma":0.000005132162,"domain_scores_codex":[0.998893,0.000003349097,0.0001405697,0.0003947874,0.0003269377,0.000241364],"domain_scores_gemma":[0.9997311,0.000006425458,0.00008366377,0.0001360374,0.00001872474,0.00002400893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009038537,0.00003339245,0.6738623,0.0003452143,0.0000223095,0.00003349857,0.0002852368,0.005668848,0.07447249,0.01152469,0.0278272,0.2058344],"study_design_scores_gemma":[0.0005191381,0.000004721106,0.7971395,0.00003904144,0.0001119097,0.000001869762,0.0004321376,0.1716403,0.0001231121,0.0001181241,0.02943551,0.0004346037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705889,0.000003761134,0.002683758,0.0123066,0.0002767422,0.0002111396,4.069387e-7,0.0001628376,0.01376588],"genre_scores_gemma":[0.9750919,0.000005363388,0.0005882776,0.02411786,0.0001181448,0.00001465518,0.000001261179,0.000008797772,0.00005371001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2053998,"threshold_uncertainty_score":0.4717244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277286868892631,"score_gpt":0.2416974480930534,"score_spread":0.2189245794041271,"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."}}