{"id":"W2270363614","doi":"","title":"Статистические исследования мирового производства зерна ячменя","year":2015,"lang":"ru","type":"article","venue":"Политематический сетевой электронный научный журнал Кубанского государственного аграрного университета","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Productivity; Livestock; Geography; Production (economics); Crop; Agricultural science; World market; Agricultural economics; Agronomy; Business; Biology; Economics; Forestry; Economic growth; International trade","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":[0.001384313,0.0003161474,0.0003877232,0.002096911,0.001058696,0.003699106,0.0004047278,0.0006089499,0.01242239],"category_scores_gemma":[0.002353674,0.0004502136,0.0003988229,0.002535877,0.001813722,0.0009205368,0.0009300126,0.001024139,0.003843482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633944,"about_ca_system_score_gemma":0.003387412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005295865,"about_ca_topic_score_gemma":0.006946091,"domain_scores_codex":[0.9983944,0.0003083929,0.00009831911,0.0002852383,0.0007578224,0.0001558424],"domain_scores_gemma":[0.998702,0.0004189008,0.0002035635,0.0002319119,0.0003674256,0.00007613375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000173518,0.0001132702,0.01001552,0.000597748,0.00005192643,0.001022864,0.004279234,0.003032601,0.02554238,0.3836636,0.008529058,0.5629783],"study_design_scores_gemma":[0.0000433203,0.0001451298,0.02467581,0.0003148949,0.00008328001,0.002748582,0.002771962,0.002668709,0.02017732,0.09443994,0.8517987,0.0001323402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.237906,0.04747808,0.1932723,0.005040627,0.00147482,0.0003550091,0.001979218,0.0004420288,0.5120519],"genre_scores_gemma":[0.7932751,0.01964946,0.1179212,0.000269619,0.0003184835,0.0004561849,0.0007836821,0.0001711787,0.06715523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242239,"threshold_uncertainty_score":0.04155701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09582736152808455,"score_gpt":0.2337618640012908,"score_spread":0.1379345024732062,"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."}}