{"id":"W4206267728","doi":"10.1287/opre.2021.2157","title":"Robust Learning of Consumer Preferences","year":2021,"lang":"en","type":"article","venue":"Operations Research","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Consumer choice; Focus (optics); Mathematical optimization; Sequence (biology); Asymptotically optimal algorithm; Artificial intelligence; Machine learning; Operations research; Marketing; Algorithm; Mathematics; 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":[0.004528041,0.001104032,0.001696267,0.0008468686,0.0003675729,0.001410622,0.002076953,0.001522712,0.002498122],"category_scores_gemma":[0.02380436,0.0007411477,0.001111688,0.001128192,0.001303138,0.002355627,0.001629255,0.002664059,0.0005480275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612746,"about_ca_system_score_gemma":0.001052886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004180826,"about_ca_topic_score_gemma":0.002595993,"domain_scores_codex":[0.9973705,0.001197154,0.0001000659,0.0006719303,0.0004521205,0.0002081047],"domain_scores_gemma":[0.9883026,0.00892207,0.000838941,0.0009402506,0.000808984,0.0001870175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002794012,0.0001172373,0.001930877,0.0001042692,0.000140581,0.00006710688,0.00009419574,0.8765654,0.001070621,0.02459723,0.001904678,0.09312847],"study_design_scores_gemma":[0.00001677349,0.00003028352,0.0002385495,0.00000598614,0.000007322925,0.00001186178,0.000008459428,0.9830444,0.0003471459,0.01605315,0.0002272135,0.000008785447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02870984,0.0003074186,0.9678838,0.0003491479,0.00002898767,0.00006506844,0.0001345109,0.000233079,0.002288229],"genre_scores_gemma":[0.8280324,0.0004283463,0.1670448,0.0003124049,0.00008396677,0.000248721,0.0005869528,0.00007256496,0.003189903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004528041,"threshold_uncertainty_score":0.02394688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461033502529293,"score_gpt":0.389352057866647,"score_spread":0.2432487076137177,"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."}}