{"id":"W4407920087","doi":"10.1016/j.procs.2025.01.105","title":"Artificial intelligence and consumer loyalty in e-commerce","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"RUDN University","keywords":"Computer science; Loyalty; Artificial intelligence; Data science; Marketing; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222847,0.0001027194,0.00021259,0.001059861,0.0009071745,0.002493729,0.0002151534,0.0009319569,0.003621829],"category_scores_gemma":[0.004303202,0.0001248924,0.0003193756,0.001069665,0.001049489,0.0008942743,0.0007074209,0.001112827,0.0001955878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008187274,"about_ca_system_score_gemma":0.0005747004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003257488,"about_ca_topic_score_gemma":0.003260735,"domain_scores_codex":[0.9987934,0.0006585852,0.00006670717,0.0000671778,0.0002366461,0.0001774902],"domain_scores_gemma":[0.9943245,0.003012473,0.001135477,0.0001275839,0.0007365678,0.0006633872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001638845,0.0009120174,0.951725,0.00009962259,0.0001116222,0.0002595307,0.003744971,0.0002753103,0.0002740663,0.01326213,0.0006623871,0.02850947],"study_design_scores_gemma":[0.0000130988,0.0002178377,0.9822718,0.00009713798,0.00006358179,0.0003412461,0.007699688,0.001909464,0.0001141879,0.004867928,0.002383819,0.00002020551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768474,0.0009148332,0.0003719946,0.001019134,0.00002228191,0.00001989448,0.00002092171,0.000003207687,0.02078053],"genre_scores_gemma":[0.999005,0.0001779802,0.00006687839,0.0001297237,0.00001223347,0.000005020134,0.00001339337,9.27303e-7,0.0005888221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003621829,"threshold_uncertainty_score":0.01211619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852631234721151,"score_gpt":0.3221080302527131,"score_spread":0.2935817179055016,"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."}}