{"id":"W4413096003","doi":"10.1109/iccsp64183.2025.11089448","title":"Predictive Analytics and Recommendation Systems in Banking","year":2025,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Predictive analytics; Computer science; Analytics; Recommender system; Data science; World Wide Web","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":[0.004204958,0.0007231795,0.0009941885,0.002219273,0.0008683664,0.003309449,0.001408833,0.002135529,0.002760489],"category_scores_gemma":[0.01268384,0.0005811678,0.0006774198,0.00419743,0.001070545,0.004166171,0.001037498,0.002581843,0.001464392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631549,"about_ca_system_score_gemma":0.001251868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02691711,"about_ca_topic_score_gemma":0.01510911,"domain_scores_codex":[0.9973495,0.0008754997,0.0002331733,0.0004859008,0.0009023711,0.0001535293],"domain_scores_gemma":[0.9932233,0.004225315,0.000373594,0.0006658265,0.001336144,0.000175849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003940765,0.0004983509,0.01290928,0.0004598591,0.0002894588,0.0003046493,0.0004479163,0.1863527,0.001617443,0.0818531,0.02957872,0.6852944],"study_design_scores_gemma":[0.0000422872,0.0001050166,0.003245064,0.0001747823,0.00006259479,0.0001327825,0.0001969773,0.8695337,0.00116126,0.1095735,0.01571126,0.0000608754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06753223,0.04218872,0.8285952,0.02569696,0.00135407,0.0003913944,0.001500136,0.005615266,0.02712604],"genre_scores_gemma":[0.7506171,0.02165924,0.2118132,0.002289277,0.00158922,0.0002454526,0.001870917,0.0001561853,0.009759455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02691711,"threshold_uncertainty_score":0.05352086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085853465546569,"score_gpt":0.29139401098148,"score_spread":0.2405354763260144,"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."}}