{"id":"W3108059284","doi":"10.31442/0235-2494-2020-0-6-64-69","title":"Climate in Russia, Agricultural Prices and Production in the 1st Quarter of 2020","year":2020,"lang":"en","type":"article","venue":"Economy of agricultural and processing enterprises","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agriculture; Agricultural economics; Yield (engineering); Production (economics); Agricultural productivity; Crop production; Agricultural science; Geography; Business; Economics; Environmental 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":[0.0002489404,0.0001151084,0.0001479375,0.0007557671,0.0001625888,0.0008402069,0.00009879917,0.0001677912,0.001310501],"category_scores_gemma":[0.0007846465,0.00006578028,0.0002557654,0.001266834,0.0001234315,0.0003948608,0.0003981467,0.0002406548,0.0004059451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444924,"about_ca_system_score_gemma":0.0002565645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007325777,"about_ca_topic_score_gemma":0.00689001,"domain_scores_codex":[0.9998265,0.0000344248,0.00001619476,0.00003381425,0.00004739313,0.00004170429],"domain_scores_gemma":[0.9996106,0.00004645624,0.0002315346,0.00001304715,0.00004786524,0.00005047146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002060737,0.0000569241,0.9712843,0.0001203311,0.0001599983,0.0002940129,0.0004996007,0.00351472,0.0009812083,0.002931991,0.004006272,0.01594442],"study_design_scores_gemma":[0.000001637935,0.00003648032,0.9944205,0.00001697255,0.00001548671,0.0001511292,0.0002771345,0.0005217411,0.0001413596,0.0002348271,0.004177561,0.000005073925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806471,0.001831852,0.0002702604,0.0003676912,0.00006570429,0.00000336088,0.009421594,0.00003476458,0.007357729],"genre_scores_gemma":[0.9932023,0.0006431823,0.0000946544,0.00002158826,0.000022567,0.000003484743,0.005089119,0.000007330886,0.0009157999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007325777,"threshold_uncertainty_score":0.01456624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131365854970946,"score_gpt":0.1948456012196254,"score_spread":0.1835319426699159,"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."}}