{"id":"W3162383853","doi":"","title":"ЗЕРНОВАЯ ПОЛИТИКА ЗАРУБЕЖНЫХ СТРАН ШЕТ ЕЛДЕРДІҢ АСТЫҚ САЯСАТЫ","year":2019,"lang":"kk","type":"article","venue":"Проблемы агрорынка","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Subsidy; Agriculture; Agricultural policy; Economic policy; Accession; Production (economics); Competition (biology); Product (mathematics); European union; Promotion (chess); Agricultural economics; International trade; Economics; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001818043,0.001359176,0.001705136,0.0001293621,0.0006835568,0.0006507187,0.002178599,0.001087873,0.0385652],"category_scores_gemma":[0.0003887974,0.000586486,0.00137883,0.002794388,0.0003651255,0.0006945254,0.0009118772,0.001177785,0.01909902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049867,"about_ca_system_score_gemma":0.00008607208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000979375,"about_ca_topic_score_gemma":0.001081812,"domain_scores_codex":[0.9915664,0.0008725101,0.001485706,0.002300542,0.00163556,0.002139272],"domain_scores_gemma":[0.9959888,0.0009513859,0.000833277,0.0008265224,0.0005050998,0.0008948688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008055782,0.002675057,0.2127017,0.0004557022,0.00203681,0.0003335969,0.002095201,0.0001458986,0.2470923,0.01018229,0.3424925,0.1789834],"study_design_scores_gemma":[0.001203148,0.001044482,0.2206474,0.0002828296,0.0005618947,0.00007177497,0.00172986,0.0006576391,0.001908242,0.001007918,0.7684341,0.00245072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8340474,0.002395158,0.00001396024,0.01401537,0.002444353,0.001411907,0.0002418305,0.0004421541,0.1449879],"genre_scores_gemma":[0.877944,0.000777249,0.000190798,0.002221252,0.003249229,0.00004643786,0.0005766285,0.00002124945,0.1149732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4259416,"threshold_uncertainty_score":0.9999159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002981261284174334,"score_gpt":0.1583044448175727,"score_spread":0.1553231835333984,"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."}}