{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001384583,0.0001522463,0.0001895077,0.00004264701,0.00007871182,0.000009803742,0.000268932,0.00008438858,0.007160832],"category_scores_gemma":[0.000009956761,0.0001073876,0.0001333743,0.00009958429,0.0001788124,0.00003630755,0.0001813403,0.0001077677,0.0003021525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171578,"about_ca_system_score_gemma":0.00002227886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308528,"about_ca_topic_score_gemma":0.00009562644,"domain_scores_codex":[0.9988779,0.0001065446,0.0001981974,0.0003660182,0.0002437819,0.0002074918],"domain_scores_gemma":[0.9995649,0.0001323148,0.000117437,0.00006252933,0.000013653,0.0001091189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002075431,0.002446678,0.8802001,0.0001293267,0.0001098342,0.0001318731,0.0003357246,0.001314201,0.0553895,0.006672407,0.04798425,0.00321069],"study_design_scores_gemma":[0.000565093,0.00007912933,0.5214335,0.00003570661,0.00001089546,6.369118e-7,0.0002863276,0.0000438697,0.000246437,0.0001150827,0.4770077,0.000175538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858814,0.0008711929,0.000002017969,0.002607184,0.0001197158,0.0002331295,0.0005783295,0.000004958914,0.009702062],"genre_scores_gemma":[0.9781688,0.0004125384,0.000219894,0.0001079694,0.00005800238,7.202088e-7,0.0002644996,0.000001686385,0.02076591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290235,"threshold_uncertainty_score":0.9937468,"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."}}