{"id":"W3162798359","doi":"10.2139/ssrn.3106129","title":"Jobs and SOX: Information Design and Capital Formation","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Business; Capital (architecture); Geography","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":[0.004050477,0.0002267933,0.0003593654,0.001122226,0.00170334,0.009101587,0.0006178542,0.001453044,0.01774051],"category_scores_gemma":[0.0268609,0.0003453541,0.0002795972,0.001391588,0.003664918,0.007216949,0.001586434,0.0009627486,0.001028549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002391318,"about_ca_system_score_gemma":0.002955891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00453574,"about_ca_topic_score_gemma":0.004765295,"domain_scores_codex":[0.9976487,0.00122493,0.0001094558,0.0002263594,0.000460885,0.0003298219],"domain_scores_gemma":[0.9725122,0.02012395,0.002458108,0.001622889,0.001729071,0.001553836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005616774,0.0002357377,0.04134732,0.0001693265,0.00004079676,0.0004515676,0.00473476,0.004015428,0.001044669,0.8427047,0.01118816,0.09350588],"study_design_scores_gemma":[0.0001280605,0.0001894732,0.02717341,0.0001685585,0.00005510414,0.0002446616,0.006540703,0.01451943,0.002847415,0.9032673,0.04481632,0.00004951355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5855539,0.004287555,0.04904341,0.03511463,0.0005470977,0.0002062383,0.0004581604,0.0002359306,0.3245531],"genre_scores_gemma":[0.9862888,0.0003614537,0.001691176,0.0002006674,0.0001111928,0.00001935749,0.00004985176,0.00001731994,0.01126015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01774051,"threshold_uncertainty_score":0.05934793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027765451536856,"score_gpt":0.1938921198158954,"score_spread":0.1836144653005268,"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."}}