{"id":"W3204390043","doi":"10.2139/ssrn.3930622","title":"Dynamic Pricing with Fairness Constraints","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Dynamic pricing; Business; Economics; Microeconomics","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005019439,0.0001686676,0.0002987975,0.0002655751,0.0003991745,0.0003723618,0.000740389,0.00006594929,0.0004608676],"category_scores_gemma":[0.001544949,0.0001126181,0.0001074847,0.001276119,0.0002737515,0.0005169939,0.0001200842,0.002351228,0.0002029627],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020734,"about_ca_system_score_gemma":0.007252098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005193132,"about_ca_topic_score_gemma":0.0008884965,"domain_scores_codex":[0.9939904,0.0002812156,0.0004779541,0.000470994,0.0021193,0.002660142],"domain_scores_gemma":[0.9976339,0.0005663299,0.0002265029,0.000428482,0.0009686452,0.0001761896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001519237,0.0001563227,0.003396611,0.000004558232,0.0002515198,0.0007089194,0.0003835919,0.00389605,0.00155332,0.03517936,0.0001153845,0.9542024],"study_design_scores_gemma":[0.001969932,0.0004640753,0.002757977,0.00005001516,0.00002263349,0.01507469,0.02059782,0.00538821,0.00113498,0.9492532,0.002869881,0.0004165723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08927623,0.001572167,0.9058061,0.001400586,0.0001911849,0.00009955852,0.00000342063,0.00002849888,0.001622315],"genre_scores_gemma":[0.9880082,0.0006228868,0.002175564,0.00005915341,0.00009003177,0.000003439412,0.000002049883,0.00002388832,0.009014775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9537859,"threshold_uncertainty_score":0.9999504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952649317340615,"score_gpt":0.3764954576647959,"score_spread":0.3469689644913897,"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."}}