{"id":"W2209920553","doi":"","title":"Efficiency and Noise Traders in a One-Sided Auction Market","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Asset (computer security); Double auction; Shock (circulatory); Microeconomics; Value (mathematics); Economics; Econometrics; Common value auction; Mathematics; Computer science; Statistics","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":[0.009057506,0.0004953811,0.001428242,0.0008431303,0.0005534938,0.002080991,0.001217342,0.001212561,0.002069537],"category_scores_gemma":[0.02793481,0.0004537788,0.0009008676,0.0004769076,0.003691711,0.003826079,0.001281077,0.001183621,0.0003281911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008586756,"about_ca_system_score_gemma":0.0006153455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000873627,"about_ca_topic_score_gemma":0.0003696264,"domain_scores_codex":[0.9976844,0.001271806,0.0001208262,0.000342764,0.0003368368,0.000243431],"domain_scores_gemma":[0.9723236,0.02097951,0.003714481,0.001491476,0.0007633051,0.0007276778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009702773,0.0003026425,0.01441041,0.0001304156,0.0002240592,0.001161672,0.0007492317,0.3313705,0.007967154,0.6294456,0.0005268991,0.0127411],"study_design_scores_gemma":[0.0001141797,0.0001677132,0.00274947,0.00001549769,0.0000344055,0.0001727362,0.00009514559,0.8168367,0.000991144,0.1785106,0.000266159,0.00004620151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146361,0.0002220435,0.1768482,0.0006729867,0.0000251688,0.00007998812,0.00005884879,0.00005111502,0.007405615],"genre_scores_gemma":[0.9913518,0.0001121444,0.006021301,0.00006179421,0.00003047008,0.0000317516,0.00002084496,0.00001283025,0.002357112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009057506,"threshold_uncertainty_score":0.04790127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505024583793653,"score_gpt":0.1943704454013854,"score_spread":0.1793201995634489,"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."}}