{"id":"W3209150678","doi":"10.30766/2072-9081.2021.22.5.661-675","title":"Source for the breeding of soft spring wheat in the conditions of Kirov region","year":2021,"lang":"en","type":"article","venue":"Agricultural science Euro-North-East","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Higher Education of the Russian Federation","keywords":"Geography; Grain yield; Yield (engineering); Genetic resources; Agronomy; Resistance (ecology); Winter wheat; Growing season; Biology; Horticulture; Biotechnology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005203823,0.0001955744,0.0002305129,0.00001580356,0.0008469307,0.0001271251,0.0009057257,0.00004569313,0.00002118061],"category_scores_gemma":[0.0002883006,0.00005104769,0.0001851706,0.002049897,0.0005577847,0.0005291592,0.0002177821,0.0002005354,0.000003389622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004462594,"about_ca_system_score_gemma":0.00002831175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004269523,"about_ca_topic_score_gemma":0.00371571,"domain_scores_codex":[0.9979517,0.00009354969,0.0004032433,0.0004822144,0.0006053536,0.0004639287],"domain_scores_gemma":[0.9987155,0.0003625923,0.0002672228,0.0001453812,0.0004329045,0.00007638643],"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":[0.00001828532,0.000208354,0.03766944,0.00002686362,0.0000149625,0.000002920833,0.001379304,0.0006045094,0.9401598,0.00105855,0.0009425604,0.01791446],"study_design_scores_gemma":[0.0001362007,0.0002063095,0.9737318,0.00004376034,0.0000295741,0.0000443452,0.0112499,0.00008500992,0.0115931,0.00005593989,0.002643732,0.0001803135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902393,0.0001881645,0.0000302907,0.008530282,0.0001890948,0.0005615994,0.00003232285,0.00002291086,0.0002059936],"genre_scores_gemma":[0.9990964,0.00003305688,0.00003269305,0.0001844705,0.0003318348,0.00004025089,0.000030679,9.527631e-7,0.0002496555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9360624,"threshold_uncertainty_score":0.6513992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342854859445299,"score_gpt":0.2166267287739645,"score_spread":0.1823412428294346,"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."}}