{"id":"W2139625419","doi":"10.1093/rof/rfn006","title":"The Optimality of Uniform Pricing in IPOs: An Optimal Auction Approach","year":2008,"lang":"en","type":"article","venue":"European Finance Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; HEC Montréal","keywords":"Initial public offering; Constraint (computer-aided design); Budget constraint; Microeconomics; Contrast (vision); Economics; Optimal allocation; Mathematical optimization; Computer science; Finance; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008692759,0.0006707071,0.00270546,0.001133941,0.0008424546,0.005130532,0.001515979,0.002100839,0.006628027],"category_scores_gemma":[0.04091034,0.001024995,0.001100056,0.001004598,0.003712226,0.006751174,0.001741033,0.003000124,0.0004427588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831295,"about_ca_system_score_gemma":0.00235576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579189,"about_ca_topic_score_gemma":0.0007895394,"domain_scores_codex":[0.9942243,0.0034369,0.0003243289,0.0005235219,0.0006864583,0.0008045589],"domain_scores_gemma":[0.9793083,0.01579133,0.001608351,0.001070991,0.001633785,0.0005872331],"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":[0.0001830971,0.0001552656,0.0008312686,0.0001752727,0.0000717345,0.0001777652,0.0001237838,0.1145013,0.0009258179,0.8712203,0.00214272,0.009491656],"study_design_scores_gemma":[0.0001461634,0.0001115864,0.0006799573,0.00006496868,0.00003241343,0.00007949835,0.0001045707,0.2982295,0.0005785953,0.6986296,0.001311525,0.00003165974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2960559,0.002479726,0.5929708,0.005180107,0.0002929183,0.0004579241,0.0004495654,0.0001550912,0.101958],"genre_scores_gemma":[0.970752,0.0007703113,0.02425397,0.0001984928,0.0002173942,0.000134192,0.00007585384,0.00003788099,0.003559882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008692759,"threshold_uncertainty_score":0.04597223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993085634787582,"score_gpt":0.2296742198344411,"score_spread":0.1897433634865653,"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."}}