{"id":"W4401787228","doi":"10.1177/2694105820230301005","title":"AI in Personalized Product Recommendations","year":2023,"lang":"en","type":"article","venue":"Management and business review.","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Product (mathematics); Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005491009,0.00009579922,0.0001834028,0.000212186,0.00005967285,0.00009690136,0.0002884318,0.00001240461,0.0000148829],"category_scores_gemma":[0.00001043723,0.00007848799,0.00002521236,0.001665396,0.00001233753,0.0003243199,0.0003014847,0.00004760206,0.00004800991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001392837,"about_ca_system_score_gemma":0.000005495717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002125209,"about_ca_topic_score_gemma":0.000006686751,"domain_scores_codex":[0.9991663,0.0000532294,0.0002194498,0.0002914685,0.0001122265,0.000157378],"domain_scores_gemma":[0.9995658,0.00001182203,0.00004991319,0.0003104654,0.00004030695,0.00002171303],"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":[5.739901e-7,0.00002632716,0.0009093261,0.001880849,0.00001217332,0.00002089502,0.00005466094,3.136517e-7,0.000003481247,0.0589455,0.3354113,0.6027346],"study_design_scores_gemma":[0.0001416883,0.00000432461,0.01506716,0.001190501,0.000006786525,0.000004048,0.000008893888,0.0005439104,0.000004093173,0.002721261,0.9801849,0.0001224942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0007928858,0.08844892,0.2429793,0.5972366,0.002008644,0.005486069,0.000004441685,0.002512559,0.06053057],"genre_scores_gemma":[0.03940869,0.8618028,0.04953599,0.02143784,0.0002269962,0.001592759,0.0001246451,0.00005165393,0.02581858],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7733539,"threshold_uncertainty_score":0.3200647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554795690323863,"score_gpt":0.3102819259881712,"score_spread":0.2747339690849325,"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."}}