{"id":"W4304687984","doi":"10.1016/j.irfa.2022.102388","title":"Media coverage and the decision to withdraw an IPO","year":2022,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Wilfrid Laurier University","funders":"","keywords":"Initial public offering; Proxy (statistics); Business; Ask price; Sample (material); Media coverage; Outcome (game theory); Dissemination; Monetary economics; Advertising; Actuarial science; Accounting; Economics; Finance; Microeconomics; Computer science; Statistics; Mathematics; Telecommunications","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":[0.004467474,0.0001849185,0.0002137298,0.002215427,0.001368563,0.005138271,0.0006112124,0.009253821,0.01091352],"category_scores_gemma":[0.03834259,0.0002334671,0.0003872809,0.001197601,0.001711261,0.001994278,0.001132291,0.006939164,0.001373192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552915,"about_ca_system_score_gemma":0.001692838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008981573,"about_ca_topic_score_gemma":0.01192936,"domain_scores_codex":[0.9978491,0.0004815959,0.0001303425,0.000116114,0.0006263342,0.0007965015],"domain_scores_gemma":[0.9612026,0.02434935,0.008014971,0.0007348946,0.003003347,0.002694834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003255469,0.0008243357,0.2430154,0.0004649107,0.0003161303,0.008433195,0.004987981,0.0007516159,0.002586728,0.1222591,0.4035144,0.2095908],"study_design_scores_gemma":[0.0003149514,0.0004412785,0.5106249,0.001079234,0.000434294,0.002818564,0.007087522,0.001502088,0.002566897,0.03552718,0.4374555,0.0001476681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3322356,0.01088065,0.0005444113,0.3651734,0.003650845,0.00006402863,0.0022747,0.00006016213,0.2851161],"genre_scores_gemma":[0.93231,0.003478292,0.0001333622,0.02944756,0.00710285,0.0000397193,0.0005834138,0.00002338842,0.02688147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01091352,"threshold_uncertainty_score":0.03650939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009104674368105851,"score_gpt":0.2403155026259244,"score_spread":0.2312108282578186,"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."}}