{"id":"W3087426815","doi":"10.1287/mnsc.2022.4542","title":"Best of Both Worlds Ad Contracts: Guaranteed Allocation and Price with Programmatic Efficiency","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Common value auction; Microeconomics; Bidding; Revenue; Risk aversion (psychology); Economics; Revenue equivalence; Dutch auction; Auction theory; Expected utility hypothesis; Financial economics; Finance","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":[0.007346765,0.001032781,0.001245304,0.0005992382,0.001211517,0.005373848,0.002118028,0.002360494,0.006370328],"category_scores_gemma":[0.03339645,0.001197835,0.001449885,0.0007920216,0.003609697,0.01013578,0.002892774,0.003815287,0.0009048032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334234,"about_ca_system_score_gemma":0.002862104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835442,"about_ca_topic_score_gemma":0.001126073,"domain_scores_codex":[0.9941725,0.002945175,0.0002515001,0.0007583386,0.001369061,0.0005033941],"domain_scores_gemma":[0.9857189,0.008374095,0.001906829,0.002495956,0.0009272387,0.0005769407],"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":[0.0003609266,0.000218594,0.001497447,0.0001360628,0.0000803931,0.000342005,0.0005892327,0.1615041,0.003878946,0.7833544,0.001724991,0.0463129],"study_design_scores_gemma":[0.00009771559,0.0001869104,0.0003846548,0.00004578925,0.00004216647,0.0002687906,0.0001331345,0.6174301,0.001408277,0.3761907,0.003750456,0.00006129909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06053739,0.0003987582,0.9176244,0.001285143,0.0000756362,0.0001675108,0.00005516432,0.0001953165,0.01966082],"genre_scores_gemma":[0.8681147,0.0003066298,0.1235887,0.0001961454,0.0001103095,0.0001623061,0.00003540147,0.0001470232,0.007338827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007346765,"threshold_uncertainty_score":0.03885388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117715143778511,"score_gpt":0.3249481493922585,"score_spread":0.2937709979544734,"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."}}