{"id":"W3121327065","doi":"10.1111/eufm.12100","title":"Due Diligence and Investee Performance","year":2016,"lang":"en","type":"article","venue":"European Financial Management","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Due diligence; Endogeneity; Context (archaeology); Equity (law); Imperfect; Business; Matching (statistics); Value (mathematics); Economics; Econometrics; Computer science; Finance; Political science; Statistics; Mathematics; Machine learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003808033,0.0001674397,0.0001207839,0.0001343275,0.0001848497,0.0001381595,0.0003147096,0.00002061627,0.00008336112],"category_scores_gemma":[0.00005630716,0.00012241,0.0000383985,0.0001926397,0.00009554698,0.0008974283,0.0007775585,0.00006176575,0.001873708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001844656,"about_ca_system_score_gemma":0.00000374849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004629393,"about_ca_topic_score_gemma":0.000004452357,"domain_scores_codex":[0.998993,0.00001341518,0.0001970399,0.0003240445,0.0001748345,0.0002976602],"domain_scores_gemma":[0.9995875,0.000009486547,0.00009373566,0.0002602158,0.00003080601,0.00001823848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006151247,0.00008900035,0.01906994,0.0004269431,0.00002138737,0.0002877085,0.00006002866,0.000002929884,0.0005083679,0.4070305,0.01536978,0.5570719],"study_design_scores_gemma":[0.0004764902,0.00001860925,0.509188,0.0001357193,0.00002557266,0.000002470655,0.00001498048,0.00002389805,0.00005264435,0.001908375,0.4878989,0.0002543566],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8066561,0.0001056755,0.001324712,0.0009724708,0.0005866783,0.0002162093,0.000001252433,0.000167045,0.1899699],"genre_scores_gemma":[0.9938387,0.0001474861,0.0001277108,0.002318013,0.0009621069,0.000007114377,0.000002827968,0.00002519873,0.002570796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5568175,"threshold_uncertainty_score":0.9989035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229741902866832,"score_gpt":0.1729539288202795,"score_spread":0.1606565097916111,"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."}}