{"id":"W6991871676","doi":"","title":"Informational Advantage and Information Structure: An Analysis of Canadian Treasury Auctions ∗","year":2010,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Common value auction; Treasury; Interdependence; Private information retrieval; Value (mathematics); Dimension (graph theory); Construct (python library); Vickrey–Clarke–Groves auction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003489886,0.0004278461,0.0009933132,0.003321703,0.002472945,0.003130529,0.00158481,0.0007868212,0.007422237],"category_scores_gemma":[0.02192724,0.0003020767,0.001309257,0.005123741,0.00155682,0.001454243,0.0006425973,0.001146696,0.0002153075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02634672,"about_ca_system_score_gemma":0.01503661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8841374,"about_ca_topic_score_gemma":0.8728552,"domain_scores_codex":[0.9984836,0.0002527328,0.00003722395,0.0001145759,0.0006278224,0.000483979],"domain_scores_gemma":[0.9843369,0.01011762,0.001184849,0.0008014847,0.002772748,0.0007864475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001748372,0.000603049,0.1775171,0.0005522238,0.0009298549,0.001394526,0.002314663,0.3311534,0.003188032,0.3660848,0.01991334,0.09460067],"study_design_scores_gemma":[0.0002525205,0.0001969896,0.278556,0.00009361283,0.0005614478,0.0003918941,0.001509545,0.6541017,0.0006930215,0.04980909,0.01356532,0.0002689264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339439,0.003117797,0.008568199,0.00168337,0.00002633048,0.0002665022,0.001927536,0.0001073133,0.05035915],"genre_scores_gemma":[0.9933147,0.0006850616,0.002103504,0.00006292659,0.00001490893,0.00002084985,0.0005547972,0.00001413443,0.003229132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1158626,"threshold_uncertainty_score":0.2330899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429639863959037,"score_gpt":0.3309796097096436,"score_spread":0.3066832110700533,"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."}}