{"id":"W2549823117","doi":"","title":"Optimal Financing Contracts, Investor Protection, and Growth ∗","year":2002,"lang":"en","type":"article","venue":"","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Economics; Monetary economics; Investment (military); Aggregate demand; Stock (firearms); Investor protection; Finance; Monetary policy","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":[0.0001104514,0.00009503336,0.00009432418,0.00007983441,0.0001512878,0.0001988466,0.00007669026,0.00005019555,0.0004875994],"category_scores_gemma":[0.0001432887,0.00008284023,0.00002564677,0.0001342413,0.00003955866,0.001104302,0.00008800451,0.0001009268,0.0002763099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001027422,"about_ca_system_score_gemma":0.000002190641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001587365,"about_ca_topic_score_gemma":0.00001723653,"domain_scores_codex":[0.9994601,0.000002731286,0.0001144186,0.0001601652,0.00009048612,0.0001721248],"domain_scores_gemma":[0.9997857,0.000008479425,0.00005876259,0.00007883557,0.00005744009,0.00001083688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007083981,0.0004451004,0.02424547,0.0006576283,0.00008718889,0.00008162517,0.0004094838,0.00004630786,0.008126601,0.8213503,0.1107423,0.03373716],"study_design_scores_gemma":[0.003262064,0.00009611702,0.09288427,0.0001455723,0.000113815,0.00005361675,0.0003479491,0.0566831,0.001822168,0.01613097,0.827103,0.001357317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950238,0.0003773939,0.002667023,0.004669898,0.0003211965,0.0002861081,5.395727e-7,0.0002346961,0.04120518],"genre_scores_gemma":[0.9957336,0.00001907365,0.0003028057,0.00218241,0.0007232285,0.00001210809,0.000001854374,0.00001003917,0.001014878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8052193,"threshold_uncertainty_score":0.5338871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253619988098048,"score_gpt":0.1861381322868513,"score_spread":0.1607761334770465,"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."}}