{"id":"W3133973748","doi":"10.1145/3442188.3445864","title":"Price Discrimination with Fairness Constraints","year":2021,"lang":"en","type":"article","venue":"","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Price discrimination; Computer science; Microeconomics; Business; Economics","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":[0.01848598,0.001850737,0.00296316,0.001060068,0.002953053,0.006315723,0.004198799,0.004737041,0.0108144],"category_scores_gemma":[0.07903355,0.001235122,0.001539817,0.002099922,0.004896004,0.009110817,0.00464286,0.006707309,0.001292916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003921285,"about_ca_system_score_gemma":0.005176237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004301229,"about_ca_topic_score_gemma":0.002668694,"domain_scores_codex":[0.9749566,0.01122067,0.0009483366,0.004605243,0.004829441,0.003439758],"domain_scores_gemma":[0.9436697,0.03943364,0.00405909,0.007097756,0.00375982,0.001980074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002838928,0.0001901703,0.001431737,0.0001731474,0.00009213416,0.0004615717,0.0002772911,0.09410952,0.00116103,0.8659003,0.007462961,0.02845617],"study_design_scores_gemma":[0.0001263338,0.00009527869,0.0005779824,0.00006045087,0.00004475436,0.0002628354,0.00008129172,0.2358519,0.0006321588,0.7558343,0.006374657,0.00005804601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05987442,0.001389051,0.859597,0.0067157,0.0007683307,0.0005187207,0.0005763791,0.0002732723,0.0702872],"genre_scores_gemma":[0.8861114,0.0008121142,0.09071261,0.001683952,0.00122332,0.0004170781,0.0002250238,0.0001821301,0.0186323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01848598,"threshold_uncertainty_score":0.09776437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970765413136193,"score_gpt":0.2296076847997862,"score_spread":0.2099000306684243,"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."}}