{"id":"W2566168561","doi":"","title":"CRM SCALE DEVELOPMENT & VALIDATION IN INDIAN BANKING SECTOR","year":2012,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Computer science; Data science; World Wide Web; Geography; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01118425,0.0003693554,0.0003454791,0.003577334,0.001807322,0.002064041,0.001249846,0.0004854572,0.002086326],"category_scores_gemma":[0.02708333,0.0002965231,0.001047317,0.004169013,0.001790336,0.001513903,0.001579468,0.001247041,0.0007073709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725803,"about_ca_system_score_gemma":0.002894645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960178,"about_ca_topic_score_gemma":0.02336778,"domain_scores_codex":[0.9939297,0.002143338,0.0006377282,0.0005094039,0.002237989,0.0005418767],"domain_scores_gemma":[0.9635062,0.01409815,0.002826095,0.003525476,0.01486975,0.001174255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006375259,0.0008197511,0.8626686,0.0001922075,0.0001393761,0.0003251575,0.01266748,0.0007850206,0.00417165,0.002445522,0.002036474,0.1131113],"study_design_scores_gemma":[0.00003733822,0.0005492721,0.9781698,0.0001041291,0.0001432088,0.0002371693,0.009511396,0.002958635,0.003619591,0.000513252,0.004115847,0.0000404236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920168,0.0001075545,0.0009884659,0.0001338305,0.00003484864,0.0001163125,0.000136784,0.00002991401,0.006435493],"genre_scores_gemma":[0.9971752,0.00005906821,0.001419821,0.00004623658,0.000009586734,0.00008181959,0.000212313,0.0000134252,0.0009824941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01960178,"threshold_uncertainty_score":0.05914873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180041357320466,"score_gpt":0.2525208771678298,"score_spread":0.2207204635946252,"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."}}