{"id":"W3212399093","doi":"10.1145/3491049","title":"Real-time Bidding for Time Constrained Impression Contracts in First and Second Price Auctions - Theory and Algorithms","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bidding; Mathematical optimization; Piecewise; Common value auction; Computer science; Function (biology); Duality (order theory); Simple (philosophy); Optimization problem; Constant (computer programming); Mathematical economics; Mathematics; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.007991686,0.000121603,0.0005229167,0.0003168201,0.0003103216,0.0001435615,0.0003407781,0.00005865003,0.00001717993],"category_scores_gemma":[0.004410303,0.00008346605,0.0001125869,0.0009311071,0.0001507525,0.0001277696,0.0002005687,0.00007656081,5.72082e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002427981,"about_ca_system_score_gemma":0.0000262234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006658328,"about_ca_topic_score_gemma":0.000002553418,"domain_scores_codex":[0.9981514,0.0000912494,0.0006901826,0.0003760009,0.000553611,0.0001376178],"domain_scores_gemma":[0.996422,0.001683251,0.0007582971,0.0002552008,0.0008214456,0.00005983095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002675318,0.000350607,0.02689125,0.0004204555,0.001714804,4.301575e-7,0.004651501,0.002444948,0.9013503,0.04911145,0.001533456,0.01126326],"study_design_scores_gemma":[0.005125651,0.0003941377,0.1981615,0.003206334,0.003361766,0.0000606088,0.02197208,0.5750626,0.093327,0.09569843,0.002466011,0.001163903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969616,0.0002540477,0.001019058,0.00059924,0.00005080287,0.0003303245,0.00002309936,0.00001460405,0.0007472503],"genre_scores_gemma":[0.9987847,0.00002120787,0.0008131649,0.00001585216,0.00003434283,0.000009912015,0.000001528754,0.000005696079,0.0003136306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8080233,"threshold_uncertainty_score":0.5279863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05118127671577748,"score_gpt":0.3169993287340497,"score_spread":0.2658180520182722,"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."}}