{"id":"W1508809759","doi":"","title":"Ranking Asymmetric Auctions using the Dispersive Order","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Common value auction; Ranking (information retrieval); Revenue equivalence; Auction theory; English auction; Revenue; Vickrey auction; Generalized second-price auction; Microeconomics; Mathematical economics; Order (exchange); Economics; Vickrey–Clarke–Groves auction; Forward auction; Computer science; Artificial intelligence; 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":[0.003512233,0.0006836975,0.00121324,0.002485438,0.001029648,0.004557402,0.001206862,0.001040832,0.004628411],"category_scores_gemma":[0.01234875,0.0005505767,0.0007912544,0.001982725,0.002416827,0.005424324,0.001942716,0.001296564,0.0005981008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177681,"about_ca_system_score_gemma":0.0009604974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006846084,"about_ca_topic_score_gemma":0.0009123611,"domain_scores_codex":[0.9959351,0.00186046,0.0002181321,0.0003221347,0.001240954,0.000423331],"domain_scores_gemma":[0.9909757,0.005404455,0.001320224,0.001040229,0.0007272919,0.00053199],"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":[0.00009270476,0.00004005399,0.0006723421,0.0000709849,0.00002751062,0.0001151127,0.00008713017,0.04198947,0.001099464,0.9377197,0.0008039736,0.01728162],"study_design_scores_gemma":[0.00004933654,0.0001115231,0.0005324159,0.00002838628,0.00002293234,0.0001649853,0.0001000276,0.1766646,0.0007743101,0.8183851,0.003129831,0.00003666052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2716938,0.0009716473,0.67058,0.0009575089,0.0001297522,0.0001881569,0.0002678978,0.0001963528,0.05501494],"genre_scores_gemma":[0.9294901,0.0005743916,0.06041113,0.00006629829,0.0001554397,0.0001264949,0.0001625358,0.00004329031,0.0089702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004628411,"threshold_uncertainty_score":0.01857471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945588118764698,"score_gpt":0.4334591114111448,"score_spread":0.2389002995346751,"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."}}