{"id":"W3212090604","doi":"","title":"ИСХОДНЫЙ МАТЕРИАЛ ДЛЯ СЕЛЕКЦИИ МЯГКОЙ ЯРОВОЙ ПШЕНИЦЫ В УСЛОВИЯХ КИРОВСКОЙ ОБЛАСТИ","year":2021,"lang":"ru","type":"article","venue":"Аграрная наука Евро-Северо-Востока","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Grain yield; Genetic resources; Yield (engineering); China; Agronomy; Forestry; Horticulture; Biology; Biotechnology; Archaeology; Physics","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":[0.0005201815,0.0001468214,0.0002322876,0.001489649,0.0006680705,0.001438495,0.0002354867,0.0002869129,0.003615597],"category_scores_gemma":[0.0008886064,0.0003111434,0.0001844522,0.001721234,0.0007794752,0.0004460447,0.0004382843,0.0003745067,0.001802263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005054076,"about_ca_system_score_gemma":0.0007539604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399651,"about_ca_topic_score_gemma":0.005883514,"domain_scores_codex":[0.9994951,0.00006676396,0.00003055121,0.0001448055,0.0001966639,0.00006608501],"domain_scores_gemma":[0.9995938,0.00009024084,0.0001420192,0.00005384715,0.00007467507,0.00004540902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005888353,0.000168361,0.1013131,0.0004643284,0.00007815861,0.002344057,0.006005441,0.001124396,0.5039466,0.01490307,0.001184834,0.3678788],"study_design_scores_gemma":[0.00005988726,0.001297201,0.5476344,0.0002340758,0.000273493,0.006242997,0.007641144,0.002589307,0.2284682,0.01579676,0.1895455,0.0002172607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509025,0.006538792,0.01550191,0.0002678653,0.00009215582,0.00007859326,0.0007398106,0.0000642189,0.02581425],"genre_scores_gemma":[0.9745315,0.002640091,0.01454354,0.00002998665,0.00004442851,0.00006159224,0.0004274503,0.00004262453,0.007678781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003615597,"threshold_uncertainty_score":0.01209533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002625715906969,"score_gpt":0.2032232626216222,"score_spread":0.1831970054625525,"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."}}