{"id":"W2000486602","doi":"10.3835/plantgenome2014.03.0010","title":"A SNP Genotyping Array for Hexaploid Oat","year":2014,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; General Mills; Agricultural Research Service; National Institute of Food and Agriculture; Prairie Oat Growers Association; U.S. Department of Agriculture","keywords":"Biology; Molecular Inversion Probe; Single-nucleotide polymorphism; SNP genotyping; Genetics; Genotyping; SNP array; SNP; Computational biology; Avena; Mendelian inheritance; Population; Tag SNP; Genotype; Gene; Botany","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":[0.0002815601,0.0000796207,0.0001039258,0.000004106957,0.0002529421,0.00003217804,0.000215708,0.00004604608,0.00008348065],"category_scores_gemma":[0.0000130463,0.00002234765,0.00005992351,0.00005376843,0.00003088251,0.00001244681,0.00002397749,0.00004952739,0.00005665608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003765431,"about_ca_system_score_gemma":0.000002292402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002534996,"about_ca_topic_score_gemma":0.0001397916,"domain_scores_codex":[0.9994349,0.00003997557,0.00009628173,0.0001433125,0.00005527703,0.0002302026],"domain_scores_gemma":[0.9996754,0.0001802543,0.00003206888,0.00005107295,0.0000192089,0.00004203096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001944101,0.00001040106,0.0001115522,0.000002638063,0.000005057532,2.875277e-7,0.00009664136,0.000008444938,0.9907767,0.0006099108,0.000209088,0.008149798],"study_design_scores_gemma":[0.0002169407,0.0006197778,0.03398398,0.000008613417,0.00003086864,0.00004677033,0.000131537,0.0001811546,0.02875851,0.00907007,0.9266418,0.0003100027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938446,0.0002954942,0.0005431965,0.002313558,0.0001815165,0.0002105581,0.0001448355,0.00003313361,0.002433078],"genre_scores_gemma":[0.9974424,0.00005544084,0.0002477221,0.0007555087,0.0008456469,0.00002052276,0.0001322142,8.28577e-7,0.0004996774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9620183,"threshold_uncertainty_score":0.1945451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03891104473260029,"score_gpt":0.2086082643845457,"score_spread":0.1696972196519454,"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."}}