{"id":"W2992195058","doi":"10.1007/s00122-019-03496-w","title":"A targeted genotyping-by-sequencing tool (Rapture) for genomics-assisted breeding in oat","year":2019,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Canadian Field Crop Research Alliance","keywords":"Rapture; Biology; Genetics; Genotyping; Genome; DNA sequencing; Computational biology; Genotype; DNA; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002680208,0.0001813132,0.0002621687,0.0000145786,0.00009973683,0.00005228379,0.0001668647,0.0001917263,0.0002001003],"category_scores_gemma":[0.000009345898,0.00008417101,0.00005659773,0.0001297833,0.0001676877,0.00001213883,0.00008185622,0.0001305009,0.0000162582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000224737,"about_ca_system_score_gemma":0.00001018623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005973332,"about_ca_topic_score_gemma":0.00001818832,"domain_scores_codex":[0.9988325,0.00002722318,0.0002568409,0.0003758646,0.00009619751,0.0004113631],"domain_scores_gemma":[0.9995931,0.0001773468,0.00004558861,0.00006599823,0.00002765994,0.00009032909],"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":[0.00008892039,0.00002685803,0.0006256077,0.00001400258,0.000006192095,5.861819e-7,0.0000946682,0.00001383612,0.9102824,0.0580936,0.00006345817,0.03068992],"study_design_scores_gemma":[0.003908538,0.002770654,0.04820795,0.00009181449,0.0001325819,0.0000569581,0.001621233,0.008079932,0.5523136,0.3506268,0.02979614,0.002393795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962397,0.0006155811,0.0001287899,0.0003876239,0.00008968225,0.0005079957,0.00005838888,0.00002597098,0.001946313],"genre_scores_gemma":[0.9978459,0.0001622404,0.00114952,0.0004935369,0.0001601597,0.00003117876,0.00008205637,0.000003448757,0.00007191205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3579688,"threshold_uncertainty_score":0.3432394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109640488961545,"score_gpt":0.2003083703766139,"score_spread":0.1892119654869985,"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."}}