{"id":"W4307462463","doi":"10.1111/1467-8551.12669","title":"Market Capacity, Information Exchange and Imperfect Matching: Evidence from the Chinese Venture Capital Market","year":2022,"lang":"en","type":"article","venue":"British Journal of Management","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Matching (statistics); Imperfect; Market microstructure; Capital market; Economics; Inflection point; Point (geometry); Business; Microeconomics; Order (exchange); Finance","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":[0.001848685,0.0001660805,0.0002151851,0.0001502915,0.0005648488,0.0009068892,0.000641054,0.00003283347,0.002164427],"category_scores_gemma":[0.0001347138,0.0001467704,0.0001381866,0.000289714,0.00005184024,0.00299463,0.001283749,0.0004680343,0.00001448904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000787657,"about_ca_system_score_gemma":0.00000866003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006416494,"about_ca_topic_score_gemma":0.0001217916,"domain_scores_codex":[0.9984147,0.00008046688,0.0004296692,0.0001462178,0.0006906542,0.0002383195],"domain_scores_gemma":[0.9990731,0.0001039822,0.0005352495,0.0001745458,0.00008842006,0.0000246949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005247489,0.0002378121,0.02008593,0.0009326579,0.0005129679,0.001001566,0.001884899,0.0001862582,0.00003308535,0.001367262,0.8333536,0.1398793],"study_design_scores_gemma":[0.002068114,0.00008903824,0.6670074,0.0007983767,0.0003183163,0.0008044759,0.004649569,0.0007608024,0.000001835989,0.01526163,0.3077519,0.0004885563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836847,0.005814251,0.0003407518,0.002425788,0.001350616,0.0003611924,0.00004632418,0.00002987504,0.005946473],"genre_scores_gemma":[0.9942233,0.001746825,0.0001157094,0.002566242,0.001060115,0.00002009689,0.00002346851,0.00001511442,0.0002291244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6469215,"threshold_uncertainty_score":0.9987477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082971875937735,"score_gpt":0.2052869928518476,"score_spread":0.1944572740924703,"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."}}