{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001750659,0.0006932975,0.0005284688,0.002029133,0.003450332,0.00914053,0.001049526,0.00209019,0.0438911],"category_scores_gemma":[0.005455525,0.0006682765,0.00071886,0.001816801,0.00480258,0.005319709,0.00288922,0.002972852,0.01474264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003493309,"about_ca_system_score_gemma":0.006171656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006520636,"about_ca_topic_score_gemma":0.005540574,"domain_scores_codex":[0.9970143,0.000600823,0.0001491567,0.0005565577,0.00134498,0.000334211],"domain_scores_gemma":[0.9974727,0.0006019747,0.0002695841,0.0003959237,0.0009576654,0.0003021134],"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":[0.00008470248,0.0000577014,0.001475261,0.0003093251,0.00003258345,0.0004348505,0.002896463,0.0009356631,0.00453892,0.8979892,0.01367016,0.07757524],"study_design_scores_gemma":[0.00004063891,0.00007286201,0.003523557,0.00037609,0.00005745332,0.0007454028,0.004089427,0.001693221,0.006253664,0.3032669,0.6797708,0.000109987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03377189,0.008865929,0.07937276,0.01288119,0.001786899,0.0001932975,0.0007744296,0.0004864976,0.8618671],"genre_scores_gemma":[0.5882736,0.01298974,0.08751491,0.002190887,0.0009234268,0.0006788893,0.0008713147,0.0006970364,0.3058601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0438911,"threshold_uncertainty_score":0.1468304,"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."}}