{"id":"W4413279107","doi":"10.1287/msom.2023.0271","title":"Privacy-Preserving Personalized Recommender Systems","year":2025,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Recommender system; Computer science; Internet privacy; Business; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005045702,0.0003380087,0.0002871156,0.0006502577,0.0008317633,0.001649113,0.0008154514,0.00007312393,0.0009858365],"category_scores_gemma":[0.00001921324,0.0003382568,0.0001004868,0.0006564405,0.00002195431,0.001149014,0.001328392,0.0002120835,0.0003821369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053952,"about_ca_system_score_gemma":0.00001774906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003095904,"about_ca_topic_score_gemma":0.0006881224,"domain_scores_codex":[0.9981496,0.00003663261,0.0004790782,0.0005621291,0.0003143737,0.0004582092],"domain_scores_gemma":[0.9988766,0.00004466729,0.00009131074,0.0008182851,0.0001479475,0.00002117352],"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":[0.0005718307,0.002038701,0.04462086,0.02276265,0.003311554,0.0002427091,0.002284413,0.1030601,0.001423472,0.3984633,0.1972091,0.2240113],"study_design_scores_gemma":[0.001590762,0.000004101219,0.04516473,0.0004884944,0.0005637096,0.000001926184,0.002584392,0.03589549,0.0001896656,0.0006967795,0.912091,0.0007289519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5521073,0.0005018297,0.01208803,0.01993882,0.003327924,0.002695984,0.000007341459,0.00107651,0.4082562],"genre_scores_gemma":[0.9727057,0.00004817173,0.0009522712,0.008635184,0.0003233766,0.0003576764,0.0001094401,0.00004964134,0.01681855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7148819,"threshold_uncertainty_score":0.9999274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192412161535117,"score_gpt":0.2519901810373565,"score_spread":0.2300660594220053,"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."}}