{"id":"W3121906819","doi":"","title":"NEW MEASURE OF STATE SUPPORT FOR IMPORT SUBSTITUTION IN RUSSIAN AGROINDUSTRIAL COMPLEX","year":2015,"lang":"en","type":"article","venue":"Russian Economic Developments","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Agriculture; Substitution (logic); Commodity; European union; Business; Agricultural economics; International trade; State (computer science); Food products; Economic policy; Economics; International economics; Market economy; Finance; Chemistry; Geography; Food 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":[0.0007612334,0.0001004861,0.0001965523,0.00153147,0.0005456083,0.001147177,0.0003073886,0.0002871252,0.004507246],"category_scores_gemma":[0.002711758,0.0001062292,0.0002190526,0.001209511,0.0007335588,0.0005606114,0.0009952181,0.0004369631,0.0003221882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104172,"about_ca_system_score_gemma":0.0008365003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005716023,"about_ca_topic_score_gemma":0.006086642,"domain_scores_codex":[0.9993717,0.0001463422,0.00006563389,0.0001087323,0.0001745525,0.000133023],"domain_scores_gemma":[0.9975601,0.000496708,0.001127033,0.0002484152,0.0003709645,0.0001968777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000324159,0.0001280426,0.9136544,0.00013749,0.000197174,0.0004030507,0.003168353,0.003125778,0.003044096,0.03973601,0.003932495,0.03214876],"study_design_scores_gemma":[0.00000959821,0.00005533865,0.9858937,0.00002043595,0.00004093824,0.0001761741,0.001380771,0.002064789,0.0004738232,0.002217383,0.007654721,0.00001237321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970828,0.0001069221,0.0005244953,0.0003989336,0.00001142584,0.00001571973,0.0006028352,0.0000241879,0.02748743],"genre_scores_gemma":[0.9982768,0.00003737402,0.0001318117,0.00002402119,0.000007518134,0.000008294022,0.0002542287,0.000003318227,0.00125671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005716023,"threshold_uncertainty_score":0.01507825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07474352823298527,"score_gpt":0.2522965261147957,"score_spread":0.1775529978818104,"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."}}