{"id":"W4200086759","doi":"10.1007/s10722-021-01268-4","title":"Mining and predictive characterization of resistance to leaf rust (Puccinia hordei Otth) using two subsets of barley genetic resources","year":2021,"lang":"en","type":"article","venue":"Genetic Resources and Crop Evolution","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"Deutsche Gesellschaft für Internationale Zusammenarbeit; Grains Research and Development Corporation","keywords":"Biology; Germplasm; Seedling; Hordeum vulgare; Rust (programming language); Puccinia; Horticulture; Botany; Agronomy; Poaceae; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003861317,0.0004530719,0.0005197711,0.001154336,0.0003187587,0.0006247888,0.0003057912,0.0002300976,0.0004970144],"category_scores_gemma":[0.0006270843,0.0001031887,0.0003921139,0.00102193,0.00009741424,0.0001941654,0.0002949729,0.0001842759,0.0002657292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519755,"about_ca_system_score_gemma":0.0002970786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004458121,"about_ca_topic_score_gemma":0.007120758,"domain_scores_codex":[0.999762,0.00002948677,0.00001835146,0.0001176332,0.00004136551,0.00003115939],"domain_scores_gemma":[0.9996378,0.00008973025,0.00007226322,0.00006540371,0.00008654345,0.00004831664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001229812,0.000454847,0.5093946,0.0003217985,0.0004287346,0.0006306679,0.0005603085,0.008263866,0.3766855,0.0001822864,0.001141911,0.1007056],"study_design_scores_gemma":[0.00004563123,0.0008300124,0.9407459,0.00003219127,0.0003344649,0.0006218136,0.0007969271,0.0196536,0.03057776,0.0001698594,0.006164365,0.00002754025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996181,0.0001242558,0.001557699,0.00001113835,0.000002556656,0.00001628921,0.001859489,0.00003253327,0.0002150538],"genre_scores_gemma":[0.9803312,0.00008469813,0.005401345,0.00001292639,0.000003853827,0.00003637448,0.01369296,0.00001585511,0.0004208604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004458121,"threshold_uncertainty_score":0.008864343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140537001039377,"score_gpt":0.2100773359842822,"score_spread":0.1986719659738884,"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."}}