{"id":"W4405329153","doi":"10.25683/volbi.2018.45.418","title":"ЗАРУБЕЖНЫЙ И РОССИЙСКИЙ ОПЫТ ПОДДЕРЖКИ ИНВЕСТИЦИОННЫХ ПРОЕКТОВ В АГРОПРОМЫШЛЕННОМ КОМПЛЕКСЕ","year":2018,"lang":"ru","type":"article","venue":"Бизнес, образование, право","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","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","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009905957,0.001710963,0.001463187,0.0001578095,0.00258904,0.0009984531,0.002405621,0.001232288,0.01843821],"category_scores_gemma":[0.00029959,0.0007761155,0.0008725129,0.002604833,0.001568819,0.001060814,0.001198513,0.001069054,0.01575594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000334481,"about_ca_system_score_gemma":0.0001712381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440464,"about_ca_topic_score_gemma":0.004089842,"domain_scores_codex":[0.9912025,0.0005094803,0.001678044,0.001991781,0.001602149,0.003016068],"domain_scores_gemma":[0.9959592,0.0005822505,0.0007905849,0.0006267158,0.0008351749,0.001206112],"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":[0.0004391536,0.0008703573,0.02257871,0.0001636944,0.000474644,0.0001090707,0.005663106,0.000005606854,0.0695429,0.005793377,0.7097645,0.1845948],"study_design_scores_gemma":[0.0007950244,0.001503252,0.2222104,0.0003390994,0.0001858439,0.00009371225,0.002981896,0.00008067096,0.01248676,0.001290328,0.755836,0.002197049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8709566,0.002968608,0.00002105762,0.01647019,0.005568692,0.001448376,0.0005335917,0.0008336053,0.1011993],"genre_scores_gemma":[0.8707715,0.002694636,0.0004625061,0.00440794,0.01249384,0.00009140186,0.0007446961,0.00003377447,0.1082997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1996317,"threshold_uncertainty_score":0.9995637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174614874970896,"score_gpt":0.2209213396107937,"score_spread":0.1991751908610848,"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."}}