{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005679767,0.0004983611,0.0009340597,0.001000348,0.0008601656,0.004185898,0.0009023228,0.001423655,0.01535047],"category_scores_gemma":[0.05310122,0.0007750175,0.000578138,0.0008501837,0.001756377,0.00754957,0.002036252,0.002671026,0.001085876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009443198,"about_ca_system_score_gemma":0.0008159882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000511886,"about_ca_topic_score_gemma":0.0004168822,"domain_scores_codex":[0.9983919,0.000521486,0.0001347842,0.0002320613,0.0003669643,0.0003528235],"domain_scores_gemma":[0.9644246,0.02112781,0.007296327,0.002992427,0.002245975,0.001912864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006290459,0.0007586815,0.03684391,0.0004722519,0.0003898628,0.001170054,0.001441496,0.1189392,0.05047105,0.6934392,0.00319628,0.08658755],"study_design_scores_gemma":[0.0003738015,0.0009505707,0.0480184,0.0001248491,0.0002336145,0.001149602,0.001220171,0.148198,0.01213428,0.7833117,0.004096302,0.0001887964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859929,0.001267189,0.05638433,0.001318212,0.0001667777,0.00006296166,0.0001972699,0.0001651981,0.0544452],"genre_scores_gemma":[0.9932856,0.0001170461,0.001975555,0.00003168113,0.00003637966,0.00001238749,0.0000289721,0.00003480092,0.00447749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01535047,"threshold_uncertainty_score":0.05135238,"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."}}