{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001152991,0.00007756796,0.0001288369,0.00003211672,0.0002963749,0.00007375576,0.0001928405,0.0001658513,0.00002206157],"category_scores_gemma":[0.0000516258,0.00003513374,0.00002530224,0.00004806131,0.0001029888,0.000113426,0.00006140771,0.0001986923,8.938752e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001922557,"about_ca_system_score_gemma":0.000004341353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001128244,"about_ca_topic_score_gemma":0.0002942586,"domain_scores_codex":[0.9994192,0.00002746262,0.0001924079,0.0001289452,0.00008907486,0.0001428862],"domain_scores_gemma":[0.9996965,0.00002778778,0.0001428715,0.00005283694,0.00004571138,0.0000342966],"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":[0.00002504249,0.00001140308,0.09205739,0.00000266624,0.000009740355,0.000006624773,0.00007883539,0.000008060431,0.8637142,0.0003090898,0.00001498552,0.04376193],"study_design_scores_gemma":[0.0001345088,0.0001264622,0.9851043,0.00002193489,0.000006855536,0.0001008189,0.0002424805,0.0007245326,0.01090527,0.002223825,0.00033421,0.00007485304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982803,0.0002535146,0.00002108197,0.001184454,0.0001156447,0.00007607172,0.00002617265,0.00001200696,0.00003069329],"genre_scores_gemma":[0.999231,0.0003692654,0.0002887546,0.00002285569,0.000067698,8.429585e-7,0.0000142728,6.146581e-7,0.000004651046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8930469,"threshold_uncertainty_score":0.2279506,"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."}}