{"id":"W2752687181","doi":"10.1111/pbi.12825","title":"Comprehensive description of genomewide nucleotide and structural variation in short‐season soya bean","year":2017,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada; Grain Research Centre; Université Laval","funders":"Government of Canada; Genome Canada; Syngenta Canada; Saskatchewan Pulse Growers; Grain Farmers of Ontario; Génome Québec","keywords":"Biology; Indel; Single-nucleotide polymorphism; Genetics; Imputation (statistics); Germplasm; SNP genotyping; Haplotype; SNP; Genotyping; Structural variation; Copy-number variation; Genotype; Computational biology; Gene; Missing data; Genome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005434402,0.0002735078,0.0003846135,0.001050484,0.0002510534,0.0004587106,0.0002513948,0.0003021827,0.0006260823],"category_scores_gemma":[0.0009010989,0.000180793,0.0004571209,0.001189627,0.0001736004,0.0002229391,0.0002616966,0.0002943279,0.0003064788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119694,"about_ca_system_score_gemma":0.0003329571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004516303,"about_ca_topic_score_gemma":0.009137998,"domain_scores_codex":[0.9996394,0.00004726169,0.00003179094,0.0001476296,0.0001022427,0.00003159351],"domain_scores_gemma":[0.9991968,0.0001724278,0.0002195458,0.0001299247,0.0001852812,0.00009595828],"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":[0.0002618125,0.00006181495,0.1605847,0.0003934805,0.0002597535,0.0004286546,0.0007604852,0.002508898,0.8001564,0.000285351,0.000329046,0.03396967],"study_design_scores_gemma":[0.000009490133,0.0001798715,0.9698381,0.00002638218,0.0001083849,0.0006417033,0.0001628104,0.003133643,0.01813516,0.000344846,0.007387555,0.00003196162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756863,0.001475887,0.01427987,0.00004311928,0.00001164209,0.00001984299,0.007577416,0.0001404082,0.0007655962],"genre_scores_gemma":[0.9693238,0.0006585701,0.01352969,0.00008373386,0.0000180528,0.00003307892,0.0156941,0.0001067239,0.0005522236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004516303,"threshold_uncertainty_score":0.008980036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188458482480751,"score_gpt":0.2241210163467424,"score_spread":0.1922364315219349,"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."}}