{"id":"W2613820191","doi":"","title":"CRM SCALE DEVELOPMENT & VALIDATIONIN 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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confirmatory factor analysis; Scale (ratio); Exploratory factor analysis; Customer relationship management; Marketing; Generalizability theory; Context (archaeology); Structural equation modeling; Knowledge management; Business; Computer science; Personalization; Quality (philosophy); Critical success factor; Construct (python library); Service quality; Service (business); Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01180551,0.000554137,0.0006657956,0.004736347,0.00159987,0.001972249,0.001140339,0.0007354586,0.003497418],"category_scores_gemma":[0.02088729,0.0003824281,0.0012283,0.003902706,0.001016365,0.001295103,0.002124196,0.001394751,0.001068165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720626,"about_ca_system_score_gemma":0.005413563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004472042,"about_ca_topic_score_gemma":0.006878782,"domain_scores_codex":[0.9905289,0.002383856,0.00166287,0.0004031243,0.004405525,0.0006156386],"domain_scores_gemma":[0.9810037,0.004952759,0.002125862,0.001475428,0.009666122,0.0007762183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005126366,0.002971789,0.4548647,0.001442145,0.0001419687,0.00120487,0.0112061,0.001722938,0.01447979,0.00422257,0.008541026,0.4986895],"study_design_scores_gemma":[0.0001366879,0.001771521,0.9297035,0.0008152758,0.0001635369,0.001235299,0.01187668,0.005964993,0.009387276,0.001523486,0.03728414,0.0001375691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507457,0.001090467,0.01118596,0.001678962,0.0002303985,0.006799009,0.001935832,0.0002754673,0.02605817],"genre_scores_gemma":[0.8924783,0.002233516,0.08060978,0.0006918892,0.0001320865,0.01040772,0.005608441,0.0001054573,0.007732742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01180551,"threshold_uncertainty_score":0.0624342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272244900395672,"score_gpt":0.2515580454417156,"score_spread":0.2188355964377589,"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."}}