{"id":"W3179660404","doi":"10.3390/biology10070631","title":"Capturing Multiple Disease Resistance in Wheat through Intergeneric Hybridization","year":2021,"lang":"en","type":"article","venue":"Biology","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Stem rust; Ploidy; Rust (programming language); Plant disease resistance; Puccinia; Fusarium; Resistance (ecology); Genetics; Botany; Gene mapping; Gene; Blight; Poaceae; Genetic resources; Chromosome; Agronomy; Biotechnology; Mildew","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":[],"consensus_categories":[],"category_scores_codex":[0.00005265437,0.00007548278,0.0001109463,0.000005616218,0.00005500966,0.00001098962,0.00008269797,0.00006099607,0.0001614302],"category_scores_gemma":[0.00005626797,0.00003254506,0.00003997053,0.0001639269,0.00003472422,0.00002564796,0.0000534515,0.00005094146,0.00001467284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001126305,"about_ca_system_score_gemma":0.00001110207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007374708,"about_ca_topic_score_gemma":0.006188416,"domain_scores_codex":[0.999296,0.00009792465,0.0001367091,0.000250886,0.0000292568,0.0001892145],"domain_scores_gemma":[0.999795,0.00005777175,0.00002482365,0.00004738645,0.00003235556,0.00004262818],"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":[0.00005149884,0.00007991086,0.1474405,0.000007842253,0.000004110858,0.00006772261,0.00009344361,0.000009529414,0.8424351,0.002013192,0.0005097487,0.007287411],"study_design_scores_gemma":[0.0004064859,0.0001020139,0.7440696,0.00003749266,0.00001017257,0.000009940464,0.0001600232,0.0001080029,0.04579398,0.01485422,0.1940832,0.0003648097],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935015,0.003219296,0.00004656836,0.001880366,0.00027009,0.00005238231,0.00003359176,0.00001856988,0.0009775853],"genre_scores_gemma":[0.9981302,0.0003996364,0.0002916164,0.0003669003,0.0001876459,0.00001088354,0.0002264379,6.243366e-7,0.0003860575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7966411,"threshold_uncertainty_score":0.3453281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504697229016753,"score_gpt":0.2311843668695845,"score_spread":0.206137394579417,"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."}}