{"id":"W4286744612","doi":"10.2139/ssrn.4169587","title":"Auction Timing and Market Thickness","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Queen's University","funders":"","keywords":"Business; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009845223,0.00006623359,0.00009647818,0.0001597094,0.001520028,0.0001152038,0.0003454302,0.0000213824,0.001626597],"category_scores_gemma":[0.0002294728,0.0000549935,0.00005541803,0.0004516854,0.00005473107,0.000231571,0.000115097,0.001233602,0.00003824031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003107924,"about_ca_system_score_gemma":0.0004614932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005758282,"about_ca_topic_score_gemma":0.00002246486,"domain_scores_codex":[0.997918,0.0003567653,0.0002754619,0.0002067129,0.000585508,0.0006575988],"domain_scores_gemma":[0.9992527,0.00024533,0.000199523,0.0001744264,0.00007240204,0.00005555405],"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":[0.00009791015,0.00005466646,0.001116853,6.259937e-7,0.00003692056,0.000001645539,0.0004621802,0.0007924665,0.0003489044,0.7682699,0.004170653,0.2246473],"study_design_scores_gemma":[0.00017255,0.00007046981,0.000645201,7.143423e-7,0.000008382855,0.00205221,0.01186768,0.0006422448,0.00001701592,0.9137397,0.07071279,0.00007101348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5960424,0.002260759,0.3700512,0.01333314,0.001146356,0.0002729222,0.00001116799,0.00009114543,0.01679097],"genre_scores_gemma":[0.9764602,0.0002119291,0.00007442728,0.0001467,0.0001592792,0.00001506965,6.8217e-7,0.000007007986,0.02292467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3804179,"threshold_uncertainty_score":0.9997799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774377987800125,"score_gpt":0.3363980395882301,"score_spread":0.2986542597102288,"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."}}