{"id":"W4405328436","doi":"10.25683/volbi.2019.47.222","title":"ФОНДОВАЯ БИРЖА КАК ИНСТРУМЕНТ ПРИВЛЕЧЕНИЯ КАПИТАЛА В СПЕЦИАЛИЗИРОВАННЫЕ ЭНЕРГЕТИЧЕСКИЕ КОМПАНИИ","year":2019,"lang":"ru","type":"article","venue":"Бизнес, образование, право","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001413065,0.002365433,0.002526031,0.0008128434,0.0005929386,0.0008690467,0.00210451,0.001723589,0.04698806],"category_scores_gemma":[0.0004548006,0.002537161,0.001097695,0.00136095,0.0005341693,0.0008840248,0.000969767,0.002834193,0.02375049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007782343,"about_ca_system_score_gemma":0.0005001068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345115,"about_ca_topic_score_gemma":0.0004019696,"domain_scores_codex":[0.9891694,0.000312731,0.002601731,0.002349426,0.001903978,0.003662729],"domain_scores_gemma":[0.992805,0.0007386245,0.0006580551,0.003786827,0.0005022355,0.001509239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009438533,0.003681723,0.08709793,0.01255247,0.003974665,0.003329448,0.008552002,0.0648269,0.01540433,0.08546938,0.4922144,0.221953],"study_design_scores_gemma":[0.005238931,0.001018257,0.03010853,0.001424405,0.0009724691,0.0003413867,0.001046107,0.05840822,0.003440866,0.00330472,0.8887447,0.005951374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1551351,0.01368993,0.01028838,0.002494582,0.02653643,0.004860253,0.001651138,0.003638683,0.7817055],"genre_scores_gemma":[0.9161363,0.001947061,0.002896457,0.001404046,0.003317755,0.0001153865,0.0005561269,0.0007775573,0.07284933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7610012,"threshold_uncertainty_score":0.9995724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006067578208176172,"score_gpt":0.1826362643393686,"score_spread":0.1765686861311925,"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."}}