{"id":"W4379351666","doi":"10.2139/ssrn.4467829","title":"Learning Customer Preferences from Bundle Sales Data","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Bundle; Business; Marketing","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":[0.001578369,0.000803423,0.0008143841,0.002974153,0.0002082535,0.001039801,0.0005946466,0.001001493,0.003393658],"category_scores_gemma":[0.00994082,0.0004585972,0.0007989522,0.002536054,0.0001899439,0.00240465,0.0007208157,0.001464792,0.003351508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004412264,"about_ca_system_score_gemma":0.0004445698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00367267,"about_ca_topic_score_gemma":0.006778805,"domain_scores_codex":[0.9992852,0.0002250618,0.00004631118,0.0001797881,0.0001683945,0.00009518054],"domain_scores_gemma":[0.9936759,0.004504746,0.0003933798,0.0005499583,0.000600679,0.0002753496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002686573,0.003078253,0.4051833,0.0001767814,0.0005356099,0.0003742706,0.0002547411,0.06643824,0.006010185,0.001629915,0.01681691,0.4968152],"study_design_scores_gemma":[0.0000683981,0.0005431718,0.08071125,0.00002322702,0.0001030749,0.0001573307,0.0002796059,0.9079123,0.002707976,0.005619322,0.001832437,0.00004192491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591488,0.0004492178,0.0296355,0.0005926537,0.00007322136,0.00007495289,0.005709277,0.001047874,0.003268589],"genre_scores_gemma":[0.9786493,0.000206305,0.01144331,0.0000771446,0.00007653893,0.00003811515,0.008113867,0.00004784963,0.001347538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00367267,"threshold_uncertainty_score":0.0113529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027164398034583,"score_gpt":0.2681548270591921,"score_spread":0.2278831830788463,"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."}}