{"id":"W2968001313","doi":"10.5430/ijfr.v10n6p54","title":"Customer Satisfaction as Intervening Between Use Automatic Teller Machine (ATM), Internet Banking and Quality of Loyalty (Case in Indonesia)","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Customer satisfaction; Service quality; Loyalty business model; Variables; Business; Variable (mathematics); Regression analysis; Marketing; The Internet; Loyalty; Quality (philosophy); Service (business); Statistics; Advertising; Computer science; Mathematics; World Wide Web","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":[0.006653706,0.00008222332,0.0002542814,0.0006881873,0.0000708319,0.0001894076,0.0002920227,0.00009319404,0.0002420226],"category_scores_gemma":[0.005587616,0.0000797978,0.00007918975,0.0003264698,0.0001629199,0.0008802297,0.0001879431,0.0004723603,0.00001381924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763638,"about_ca_system_score_gemma":0.0005075617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024043,"about_ca_topic_score_gemma":0.001888953,"domain_scores_codex":[0.9970393,0.0006064512,0.0007418989,0.0001406999,0.00123691,0.0002347803],"domain_scores_gemma":[0.9965847,0.002163509,0.0003831229,0.00006219048,0.0007194647,0.00008700022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001630285,0.00003410976,0.8678228,0.000022794,0.00002696583,0.0001182661,0.003456294,0.000003152002,0.00008919335,0.004791711,0.00006183171,0.1234099],"study_design_scores_gemma":[0.0007420409,0.00007024723,0.9959733,0.000435866,0.000002449846,0.0000411726,0.0008733421,0.00006338425,0.0001366151,0.0009480195,0.0006287342,0.00008484758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941936,0.00006822579,0.00007433921,0.0002868573,0.0003081422,0.0001354081,0.000004373783,0.000005711818,0.004923387],"genre_scores_gemma":[0.9992158,0.00004312386,0.0003036967,0.00002052183,0.0001539112,0.000001481145,0.000001775305,0.000007952965,0.0002517079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1281505,"threshold_uncertainty_score":0.9963505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285359382751202,"score_gpt":0.4408095455827905,"score_spread":0.3122736073076703,"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."}}