{"id":"W2142852830","doi":"10.1016/j.artint.2010.08.005","title":"Revenue monotonicity in deterministic, dominant-strategy combinatorial auctions","year":2010,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Combinatorial auction; Common value auction; Mathematical economics; Vickrey–Clarke–Groves auction; Counterintuitive; Impossibility; Revenue; Monotonic function; Set (abstract data type); Submodular set function; Mechanism design; Computer science; Microeconomics; Economics; Mathematical optimization; Mathematics; Auction theory; 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":[0.009974003,0.001105152,0.003084158,0.001496764,0.00130842,0.005485028,0.003743707,0.002249741,0.003797954],"category_scores_gemma":[0.05696842,0.001688592,0.001787007,0.002146296,0.004585962,0.009944711,0.002188057,0.004223891,0.0007298228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408436,"about_ca_system_score_gemma":0.003120788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310955,"about_ca_topic_score_gemma":0.001165393,"domain_scores_codex":[0.991658,0.00450729,0.0004367283,0.000788658,0.00191166,0.0006976862],"domain_scores_gemma":[0.9518296,0.03917661,0.002643442,0.002468376,0.003096058,0.0007859328],"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":[0.0001415892,0.0001212749,0.000785467,0.0003492907,0.00006399955,0.0001792951,0.0001841113,0.04303025,0.0008336661,0.9305853,0.002669266,0.02105646],"study_design_scores_gemma":[0.00003787113,0.00003554526,0.0002540369,0.00003923673,0.00002005995,0.0001570376,0.00004274207,0.1364168,0.0002958908,0.8615218,0.001160363,0.00001866034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1487743,0.004803239,0.7572977,0.004818428,0.0003041813,0.0002413476,0.0004444018,0.0003845271,0.08293191],"genre_scores_gemma":[0.8927295,0.003675441,0.0915212,0.000575333,0.0004357278,0.0004726466,0.0002787193,0.0001628228,0.01014873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009974003,"threshold_uncertainty_score":0.0527482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312569286006168,"score_gpt":0.4222935611405288,"score_spread":0.291036632539912,"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."}}