{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004230153,0.001199627,0.001530246,0.001360489,0.0008371346,0.00393213,0.003074358,0.001486575,0.009957766],"category_scores_gemma":[0.02288631,0.0005632323,0.001071059,0.001890556,0.00233422,0.006305327,0.002486455,0.002071,0.001307048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515122,"about_ca_system_score_gemma":0.001677889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006832698,"about_ca_topic_score_gemma":0.0004283062,"domain_scores_codex":[0.995922,0.002025468,0.0001536213,0.0005993789,0.0007684288,0.0005311585],"domain_scores_gemma":[0.9937097,0.003435344,0.0006144891,0.001372381,0.0005354938,0.000332657],"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":[0.0005087078,0.000124242,0.0004575845,0.0001590209,0.00006787778,0.0001330542,0.00006196265,0.08718673,0.002157968,0.8572984,0.006060085,0.0457843],"study_design_scores_gemma":[0.0002306145,0.0002549798,0.0003635737,0.00006140644,0.00007001042,0.0002654427,0.00004737499,0.4041151,0.002186519,0.5832078,0.0091484,0.00004866956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07739029,0.001089465,0.8494115,0.001291084,0.000472804,0.000266073,0.0003751941,0.0006672121,0.06903637],"genre_scores_gemma":[0.8347443,0.00121042,0.1484416,0.0007220599,0.0004795871,0.0005782914,0.000368075,0.0002795137,0.01317625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009957766,"threshold_uncertainty_score":0.03331202,"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."}}