{"id":"W2970229509","doi":"10.31734/agronomy2019.01.173","title":"Multiple disease resistance in intergeneric hybrids","year":2019,"lang":"ht","type":"article","venue":"Bulletin of Lviv National Environmental University Agronomy","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; International Development Research Centre","funders":"","keywords":"Hybrid; Resistance (ecology); Biology; Plant disease resistance; Disease; Genetics; Medicine; Botany; Ecology; Gene; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003201194,0.0002756292,0.0002884431,0.0007255528,0.0002273278,0.0003782571,0.0002787574,0.0003330228,0.002972346],"category_scores_gemma":[0.00019741,0.0001027353,0.0003070008,0.0002109355,0.0001848975,0.0001824802,0.000349328,0.0007977224,0.0004656598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003484889,"about_ca_system_score_gemma":0.00008452063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003629169,"about_ca_topic_score_gemma":0.000535215,"domain_scores_codex":[0.9996774,0.00006545136,0.00003217301,0.0001247476,0.00005955301,0.0000406289],"domain_scores_gemma":[0.9997835,0.00007272731,0.00003257391,0.00002752334,0.00002627603,0.00005754537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001841678,0.00009420349,0.001050764,0.00002325938,0.00001664225,0.0001149542,0.00004756654,0.00005780861,0.9924759,0.0002660761,0.00008667786,0.005581905],"study_design_scores_gemma":[0.0001450771,0.003358567,0.1729731,0.00004078678,0.0002913701,0.00270263,0.0003594331,0.001262966,0.8056869,0.0005675792,0.01256278,0.000048753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923929,0.001032872,0.001735286,0.00008680337,0.0000639461,0.00002265222,0.000387022,0.00006092418,0.00421748],"genre_scores_gemma":[0.9915638,0.0005567435,0.001096287,0.00003960718,0.00002710213,0.00001898247,0.001344968,0.00004840909,0.005304181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002972346,"threshold_uncertainty_score":0.009943426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006955502425741765,"score_gpt":0.1553401337042067,"score_spread":0.1483846312784649,"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."}}