{"id":"W4394858518","doi":"10.1016/j.pacfin.2024.102361","title":"When do venture capital and startups team up? Matching matters","year":2024,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Venture capital; Matching (statistics); Initial public offering; Business; Investment (military); Propensity score matching; Market liquidity; Social venture capital; Quality (philosophy); Industrial organization; Monetary economics; Business administration; Finance; Economics","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":[0.004711882,0.000170894,0.0006610762,0.001664569,0.001773573,0.007159534,0.001289629,0.002838725,0.02408316],"category_scores_gemma":[0.03817858,0.0004062903,0.000383069,0.001386747,0.000792407,0.007149028,0.002608579,0.001755276,0.005087497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435362,"about_ca_system_score_gemma":0.001792638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005467351,"about_ca_topic_score_gemma":0.008861997,"domain_scores_codex":[0.9962064,0.0009481398,0.0001597824,0.0003768614,0.0007015268,0.001607336],"domain_scores_gemma":[0.9671869,0.009336435,0.009057208,0.001219115,0.002138536,0.01106185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009030337,0.0007969389,0.6814075,0.0001038489,0.0002005748,0.0004636401,0.004548505,0.0006554815,0.0005829885,0.01108776,0.03491095,0.2643388],"study_design_scores_gemma":[0.0002380377,0.0005532969,0.8320905,0.0004576621,0.0002061762,0.0005765161,0.0647251,0.004556995,0.001406428,0.05605481,0.03902833,0.0001061663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157828,0.002068458,0.00225576,0.02632077,0.0005323865,0.0001689694,0.0006389963,0.0001195771,0.0521122],"genre_scores_gemma":[0.9879066,0.0003723981,0.0003808003,0.002002861,0.0002251008,0.00004909773,0.0002429402,0.00002410992,0.008796128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02408316,"threshold_uncertainty_score":0.08056623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009548119168143956,"score_gpt":0.2114988553286846,"score_spread":0.2019507361605407,"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."}}