{"id":"W3123049731","doi":"10.2139/ssrn.3295199","title":"Public-to-Private Buyouts and Innovation","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Leveraged buyout; Debt; Business; Sample (material); Endogeneity; Proxy (statistics); Inefficiency; Innovator; Finance; Private equity; Accounting; Economics; Entrepreneurship; Microeconomics; Econometrics","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":[],"consensus_categories":[],"category_scores_codex":[0.001374443,0.0001284972,0.0001157814,0.0005934747,0.0003596362,0.0004752645,0.0002600566,0.00005886994,0.00007744328],"category_scores_gemma":[0.0002603143,0.0001139221,0.0000303334,0.001059622,0.00005830268,0.001320526,0.0001935861,0.0006360956,0.0003531765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500876,"about_ca_system_score_gemma":0.0001701783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001282666,"about_ca_topic_score_gemma":0.0001440373,"domain_scores_codex":[0.9980339,0.00000773166,0.0002295696,0.0001778352,0.0002040566,0.001346943],"domain_scores_gemma":[0.9993913,0.000007787795,0.0001597489,0.000123812,0.0002991333,0.00001820391],"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":[0.00002605755,0.00002269619,0.004266624,0.000006221967,0.00003337567,0.000001285973,0.00002392984,2.334382e-7,0.001281273,0.9706051,0.0007032485,0.02302997],"study_design_scores_gemma":[0.0006552363,0.0001181399,0.006478658,0.00002112484,0.00002452828,0.00008434666,0.0002240352,0.0001228155,0.0001114473,0.7738519,0.2180395,0.0002683277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740707,0.000202507,0.01055407,0.008523004,0.0004986,0.0001036775,4.023061e-7,0.00006773083,0.005979303],"genre_scores_gemma":[0.9925933,0.00008771613,0.00006577324,0.002982714,0.003823269,0.000002323708,0.000006010174,0.00001886411,0.0004199834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2173362,"threshold_uncertainty_score":0.4645608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684727070058219,"score_gpt":0.2403858077437014,"score_spread":0.2135385370431193,"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."}}