{"id":"W4417408135","doi":"10.1080/1540496x.2025.2599441","title":"Economic Policy Uncertainty and Matching in Venture Capital Markets: Evidence from China’s Venture Capital Market","year":2025,"lang":"en","type":"article","venue":"Emerging Markets Finance and Trade","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; University of Windsor","funders":"","keywords":"Venture capital; Matching (statistics); Social venture capital; Capital (architecture); Economic capital","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":[0.00232213,0.0001767084,0.0004489798,0.00158654,0.0007231027,0.001740735,0.0004114204,0.000636365,0.002252117],"category_scores_gemma":[0.01096896,0.0001536459,0.0004109843,0.001940351,0.0007718152,0.001656357,0.001335139,0.0007559065,0.0002038996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009216202,"about_ca_system_score_gemma":0.001204209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02119895,"about_ca_topic_score_gemma":0.01728837,"domain_scores_codex":[0.9989657,0.000271402,0.00009757557,0.000140725,0.0002569847,0.0002676212],"domain_scores_gemma":[0.984303,0.005037732,0.007813673,0.0005072397,0.001040602,0.001297874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001482607,0.0001346269,0.9779181,0.00005417433,0.0001075097,0.0003422464,0.0006656951,0.001545443,0.0001629727,0.002462647,0.0008321633,0.01562623],"study_design_scores_gemma":[0.00003341154,0.00009679232,0.9858363,0.00004719945,0.00009303333,0.00006680234,0.001490029,0.008480469,0.0003461387,0.001767496,0.001720321,0.00002208353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996689,0.000637443,0.0002411859,0.0004791286,0.000007139598,0.00001447619,0.0002086359,0.000004893421,0.001718051],"genre_scores_gemma":[0.9994358,0.0002261975,0.00002154208,0.00003396643,0.00001153026,0.000002450768,0.0001205328,7.081445e-7,0.000147253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02119895,"threshold_uncertainty_score":0.04215115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007432495228598406,"score_gpt":0.2277227896850023,"score_spread":0.2202902944564039,"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."}}