{"id":"W2995348885","doi":"10.31857/s268667300007685-3","title":"Agrarian Policy of the State in Russia and the U.S.: Comparative Analysis","year":2019,"lang":"en","type":"article","venue":"USA & Canada Economics – Politics – Culture","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies","funders":"","keywords":"Agrarian society; Agriculture; State (computer science); Agricultural policy; State policy; Government (linguistics); Imperfect; Economic policy; Russian federation; Economic system; Political science; Business; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006351506,0.00005761384,0.0001936639,0.001718068,0.0006137702,0.001970263,0.0002050159,0.000259268,0.002157148],"category_scores_gemma":[0.0009922184,0.00006676992,0.0002374892,0.00324957,0.0008364358,0.0005159178,0.0007017008,0.0002613791,0.0001629083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003362745,"about_ca_system_score_gemma":0.00135996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04055387,"about_ca_topic_score_gemma":0.06333388,"domain_scores_codex":[0.9995178,0.0002186168,0.00001327408,0.00003410942,0.000074834,0.0001414473],"domain_scores_gemma":[0.9994942,0.0002010268,0.0001394544,0.00001690688,0.0001006721,0.00004778623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006320297,0.0002672,0.3015771,0.000361644,0.0003856235,0.0008628966,0.009701595,0.01063384,0.001622255,0.603258,0.005113123,0.0655847],"study_design_scores_gemma":[0.0000274584,0.0001720234,0.9305684,0.0001932975,0.0001717937,0.0002198419,0.01559162,0.002892509,0.0004398333,0.0114877,0.03821344,0.00002204269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294375,0.00391253,0.0002799918,0.0007585698,0.00001849203,0.000006999357,0.0002601893,0.000004430973,0.06532138],"genre_scores_gemma":[0.9979079,0.001045894,0.00004507734,0.00002438684,0.000005509727,0.000002599669,0.00008447079,0.000001148647,0.0008831749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04055387,"threshold_uncertainty_score":0.08063561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007013699020819116,"score_gpt":0.1822285284167103,"score_spread":0.1752148293958912,"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."}}