{"id":"W3013946806","doi":"10.1108/s0731-905320200000041010","title":"Econometrics of Scoring Auctions","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Common value auction; Procurement; Quality (philosophy); Computer science; Function (biology); Kernel (algebra); Identification (biology); Mathematical optimization; Scoring rule; Econometrics; Microeconomics; Economics; Machine learning; Mathematics","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":[0.003591737,0.0003908702,0.001073437,0.001430661,0.0004414267,0.002949771,0.001182483,0.001466778,0.01408789],"category_scores_gemma":[0.01819793,0.0003900491,0.0007243828,0.002474064,0.001562801,0.002229874,0.001105494,0.002132678,0.001494749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177426,"about_ca_system_score_gemma":0.001373071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006471606,"about_ca_topic_score_gemma":0.004071808,"domain_scores_codex":[0.9978459,0.001402959,0.00007543025,0.000174413,0.0003117371,0.0001894893],"domain_scores_gemma":[0.9869146,0.01054368,0.001120922,0.0007193399,0.000512024,0.0001894228],"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":[0.00003577544,0.00007079451,0.004483909,0.0001155383,0.00003529012,0.0001361618,0.00008092763,0.1367312,0.0001777253,0.8331156,0.004867845,0.02014929],"study_design_scores_gemma":[0.00004035852,0.00005144369,0.006267641,0.0000635301,0.00001960531,0.00007308004,0.000198402,0.3005799,0.0001385147,0.6849573,0.007579747,0.00003046078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2699521,0.009595157,0.539017,0.01172437,0.0003119229,0.0003719371,0.002862381,0.0005591327,0.165606],"genre_scores_gemma":[0.9571258,0.002878427,0.01255428,0.0001857992,0.0001740636,0.000114868,0.0008359595,0.00004126294,0.02608943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01408789,"threshold_uncertainty_score":0.04712868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3716533043142112,"score_gpt":0.3804013113497617,"score_spread":0.008748007035550509,"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."}}