{"id":"W2568254620","doi":"","title":"CUSTOMER RELATIONSHIP MANAGEMENT MODEL FOR BANKS","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Securities Regulation and Market Practices","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Customer relationship management; Computer science; Perception; Process (computing); Descriptive statistics; Marketing; Knowledge management; Business; Statistics; Psychology; Mathematics","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":[0.0009839645,0.00007745597,0.00009793582,0.0001256572,0.0001056474,0.00011247,0.0002063172,0.00002545783,0.0001036214],"category_scores_gemma":[0.00008524986,0.00004079719,0.00005374596,0.00006112182,0.0000440332,0.0007363984,0.00009207614,0.00007919335,0.00001295324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001439892,"about_ca_system_score_gemma":0.000004084297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009218873,"about_ca_topic_score_gemma":0.000007971003,"domain_scores_codex":[0.9994317,0.00002050249,0.0002409407,0.00005702714,0.0001336681,0.0001162177],"domain_scores_gemma":[0.9990802,0.0003608928,0.00033829,0.00009784551,0.000115117,0.000007672782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001076741,0.00008665376,0.008930014,0.0002399346,0.0002404667,0.000003642478,0.0009821379,0.0003203255,0.0001271458,0.6521893,0.1169624,0.2188413],"study_design_scores_gemma":[0.0038675,0.00005888436,0.03776647,0.0009987598,0.0007477282,0.00009865692,0.001636404,0.1141887,0.00004610086,0.09299548,0.7471364,0.0004589059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5906047,0.0006442128,0.2723091,0.02685103,0.0008116194,0.0003645783,0.000002210754,0.00005578385,0.1083567],"genre_scores_gemma":[0.9909031,0.00008279548,0.0003188968,0.002002662,0.000268448,0.000002690362,5.521878e-7,0.00001076582,0.006410081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.630174,"threshold_uncertainty_score":0.1663661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841606523640951,"score_gpt":0.2642371286307634,"score_spread":0.2258210633943539,"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."}}