{"id":"W2963606302","doi":"10.5555/2936924.2936943","title":"Budgetary Effects on Pricing Equilibrium in Online Markets","year":2016,"lang":"en","type":"article","venue":"Adaptive Agents and Multi-Agents Systems","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Submodular set function; Budget constraint; Market clearing; Valuation (finance); Nash equilibrium; Microeconomics; Clearing; Economics; Mathematical economics; Uniqueness; Monotone polygon; Mathematical optimization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004551166,0.0009871287,0.001445538,0.001091741,0.001122296,0.003197196,0.001622875,0.001663312,0.009265237],"category_scores_gemma":[0.02775899,0.0008164552,0.0009857212,0.001147734,0.002607107,0.008706766,0.002756924,0.002134929,0.0004010863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008835,"about_ca_system_score_gemma":0.001130752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379135,"about_ca_topic_score_gemma":0.002445278,"domain_scores_codex":[0.9965137,0.002198026,0.0001228745,0.0003031374,0.0003467843,0.0005156404],"domain_scores_gemma":[0.9837211,0.01194193,0.00209252,0.001081337,0.0006757699,0.000487284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002672737,0.0001719482,0.001242667,0.0001490971,0.00007255445,0.0001921482,0.0002709387,0.1033688,0.00159635,0.8763123,0.001158354,0.01519756],"study_design_scores_gemma":[0.0001298369,0.00007989034,0.0007816677,0.0000600886,0.00003901901,0.00007895403,0.0001310838,0.3097454,0.0008799642,0.6858482,0.0021875,0.00003841928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3561466,0.001336402,0.5623974,0.002235667,0.0001021333,0.0001681277,0.0002839289,0.0002084546,0.07712132],"genre_scores_gemma":[0.9641623,0.0005984921,0.0303631,0.0001736174,0.00006409377,0.0001484472,0.00006753182,0.00005220068,0.004370266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009265237,"threshold_uncertainty_score":0.03099531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186784481878477,"score_gpt":0.3701668057351036,"score_spread":0.251488357547256,"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."}}