{"id":"W2809081352","doi":"10.1145/3219166.3219230","title":"The Combinatorial Clock Auction","year":2018,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bidding; Combinatorial auction; Microeconomics; Social Welfare; Mathematical economics; Welfare; Auction theory; Economics; Vickrey–Clarke–Groves auction; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001507719,0.00003503149,0.00004085444,0.00002427633,0.0009411501,0.0001649146,0.0003672229,0.00002613878,0.001281484],"category_scores_gemma":[0.0006298591,0.00001726368,0.00003440714,0.0003870566,0.0002734055,0.0001089329,0.00004527044,0.00004393694,0.00635825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008123987,"about_ca_system_score_gemma":0.0000161416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000496949,"about_ca_topic_score_gemma":0.00001096765,"domain_scores_codex":[0.9991338,0.00008333604,0.0001925484,0.0001470274,0.00035662,0.00008669133],"domain_scores_gemma":[0.9986738,0.0005819423,0.00006639496,0.0003983708,0.0002428801,0.00003661089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009782919,0.00000781301,0.00006111278,1.830761e-8,0.000001322074,1.63219e-8,0.00004030945,0.000001090565,0.00007726965,0.9095973,0.06949198,0.02071198],"study_design_scores_gemma":[0.00004390028,0.00001563235,0.0004669592,1.110153e-7,6.788521e-7,0.000001322906,0.0002450818,0.0001342536,0.001436886,0.4850398,0.5125982,0.00001714018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1460231,0.0000345505,0.2092236,0.01856457,0.01248574,0.0003499915,0.000003308709,0.0002572584,0.6130579],"genre_scores_gemma":[0.9663443,0.000001732403,0.00009340915,0.0001521742,0.0008722119,0.00001000513,2.238377e-7,0.00000205809,0.03252387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8203212,"threshold_uncertainty_score":0.9996315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08784105290432162,"score_gpt":0.4217297862892799,"score_spread":0.3338887333849583,"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."}}