{"id":"W2566939763","doi":"","title":"Сельское Хозяйство России в Условиях Санкций (Russian Agriculture in Conditions of Sanctions)","year":2014,"lang":"ru","type":"article","venue":"SSRN Electronic Journal","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Surprise; Political science; Agriculture; Politics; International trade; Economic sanctions; Economy; Economic policy; Political economy; Development economics; Geography; Business; Economics; Law; Sociology","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":[0.001133744,0.0002695598,0.0002160963,0.0008505252,0.003589884,0.004702909,0.0003938575,0.001173624,0.009800923],"category_scores_gemma":[0.001439963,0.0002538476,0.0003093917,0.001161272,0.003580997,0.00168913,0.001637993,0.002000363,0.002300368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002678848,"about_ca_system_score_gemma":0.003588257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035255,"about_ca_topic_score_gemma":0.01260551,"domain_scores_codex":[0.9987152,0.0004276876,0.00007140571,0.000199614,0.0003298311,0.0002563297],"domain_scores_gemma":[0.9995103,0.0001323481,0.00008783249,0.00005490733,0.0001527552,0.00006190907],"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":[0.00008502076,0.00005590717,0.00620464,0.0004557876,0.0000268319,0.00146571,0.02664385,0.0007994738,0.002746558,0.8205974,0.04506129,0.09585745],"study_design_scores_gemma":[0.000008584744,0.0000458761,0.01982717,0.0004430784,0.00002157381,0.0007831004,0.01005533,0.0002920862,0.0009829768,0.04996698,0.9175306,0.00004259643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1098193,0.03102178,0.008070676,0.02048029,0.002379545,0.000133668,0.0007148862,0.0001330659,0.8272467],"genre_scores_gemma":[0.8725864,0.01366044,0.003901712,0.001254513,0.0005921119,0.00009502587,0.0003388725,0.00008692248,0.1074841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01035255,"threshold_uncertainty_score":0.03278732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004176200194879675,"score_gpt":0.2423972206336143,"score_spread":0.2382210204387346,"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."}}