{"id":"W187770969","doi":"","title":"ВЕНЧУРНЫЕ ФОНДЫ В ЭКОНОМИКЕ ВЫСОКИХ ТЕХНОЛОГИЙ (ПРИМЕР КАНАДЫ)","year":2001,"lang":"ru","type":"article","venue":"id = 542, shortTitle = MEO, editionType = 2, dateBegin = 1957-08-01 00:00:00.0, officeEncoding = Cp1251, officeStatus = 1, loadType = 1, langId = Russian","topic":"Economic Systems and Logistics Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Venture capital; Capital (architecture); Business; Management; Finance; Economics; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00164636,0.0005643643,0.0002457975,0.001129851,0.004465121,0.009073699,0.0007718939,0.002929678,0.0421522],"category_scores_gemma":[0.003027635,0.0004954597,0.0004285198,0.002024603,0.00607741,0.003742025,0.002109162,0.003953631,0.01810081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005875412,"about_ca_system_score_gemma":0.007511011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02602566,"about_ca_topic_score_gemma":0.03726738,"domain_scores_codex":[0.9981541,0.0004632063,0.00009441431,0.0003897476,0.0006406228,0.0002578915],"domain_scores_gemma":[0.9990419,0.0002342002,0.00008607942,0.0001421199,0.0003771268,0.0001185745],"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":[0.00004267437,0.00002343967,0.0006764474,0.0001443613,0.000008964557,0.0001976369,0.005974086,0.000245919,0.0006320384,0.8249537,0.1074683,0.05963231],"study_design_scores_gemma":[0.000006229914,0.00001041734,0.0009400092,0.0001251399,0.000005728116,0.0001325468,0.001188367,0.00008958752,0.0002736214,0.03056754,0.9666448,0.00001609892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0071229,0.01219742,0.006918671,0.02431393,0.003306658,0.00008817364,0.0003560676,0.0001602491,0.945536],"genre_scores_gemma":[0.1573984,0.01269347,0.010957,0.00367737,0.001267341,0.0002542889,0.000383199,0.0002699302,0.813099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9739743,"threshold_uncertainty_score":0.1410131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03887030804029842,"score_gpt":0.2450293022766279,"score_spread":0.2061589942363294,"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."}}