{"id":"W297038421","doi":"","title":"Private Information, Prices, and Market Efficiency","year":2005,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Stylized fact; Private information retrieval; Double auction; Microeconomics; Economics; Order (exchange); Incentive; Perfect competition; Competitive equilibrium; Common value auction; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0008835324,0.0001887459,0.0001883623,0.0002761726,0.0003366988,0.003229644,0.0007576353,0.00009674363,0.002992661],"category_scores_gemma":[0.001359003,0.0001449056,0.0000848627,0.001034244,0.000180956,0.01430321,0.000321982,0.0002417906,0.01171219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000170241,"about_ca_system_score_gemma":0.00005393014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.90454e-7,"about_ca_topic_score_gemma":1.547772e-7,"domain_scores_codex":[0.9978225,0.00007376973,0.0007601367,0.0003531247,0.0006986786,0.000291848],"domain_scores_gemma":[0.9982964,0.000526536,0.0002781642,0.0005286498,0.00007850432,0.0002917111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001818889,0.0003187974,0.1120674,0.00002547052,0.00003013673,0.000002959309,0.0002430168,0.000103075,0.00005778241,0.2631912,0.1007315,0.5230468],"study_design_scores_gemma":[0.0002152377,0.00001877064,0.01022344,0.000008359591,0.000003442262,0.00001513876,0.00006560315,0.0004390782,0.0004252366,0.08605778,0.9023424,0.0001855558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.620485,0.0002483596,0.02792623,0.008277804,0.0001472062,0.000621294,0.002104327,0.0006294081,0.3395604],"genre_scores_gemma":[0.9904124,0.0000154316,0.002762855,0.001618504,0.0001338257,0.00002549208,0.00009943917,0.00001715377,0.004914907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8016109,"threshold_uncertainty_score":0.9994832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887288368493903,"score_gpt":0.2602327046216076,"score_spread":0.2413598209366686,"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."}}