{"id":"W2905594291","doi":"10.1111/tpj.14213","title":"Targeted exome sequencing of unselected heavy‐ion beam‐irradiated populations reveals less‐biased mutation characteristics in the rice genome","year":2018,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RIKEN Brain Science Institute; Japan Society for the Promotion of Science; Swine Innovation Porc","keywords":"Biology; Exome sequencing; Mutation; Population; Genetics; Mutant; Mutation frequency; Exome; Exon; Molecular biology; Gene; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001716516,0.000259587,0.0002573576,0.0002660943,0.000151213,0.0002511545,0.0001706312,0.0002390777,0.001123173],"category_scores_gemma":[0.0002616878,0.0001229545,0.0002994758,0.0001641332,0.000143534,0.000130798,0.0002288213,0.000275707,0.0003122765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505706,"about_ca_system_score_gemma":0.00012158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000451407,"about_ca_topic_score_gemma":0.0008919053,"domain_scores_codex":[0.9998986,0.000009239133,0.00001068454,0.00004290248,0.00002234431,0.00001631159],"domain_scores_gemma":[0.999856,0.00003427715,0.00003561527,0.00002903753,0.00002501924,0.00001995836],"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":[0.00003268289,0.000004309887,0.0009757742,0.00001091584,0.000004811522,0.00001813805,0.0000169547,0.0000421451,0.9981576,0.00001042463,0.00001718171,0.000709206],"study_design_scores_gemma":[0.00001135847,0.0002104448,0.2276709,0.00001087269,0.00006145356,0.0007233073,0.0001092145,0.001950303,0.7667213,0.00009988149,0.00241513,0.00001592339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897302,0.0001594051,0.008399425,0.00002627272,0.000008913978,0.00001474264,0.001221422,0.00008667573,0.0003528396],"genre_scores_gemma":[0.9831648,0.0001646492,0.01133071,0.0001110461,0.000006066845,0.00005593564,0.00354558,0.00009428385,0.001526903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001123173,"threshold_uncertainty_score":0.003757358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08502161527305961,"score_gpt":0.2518805432292633,"score_spread":0.1668589279562037,"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."}}