{"id":"W2790127842","doi":"10.1111/pbi.12888","title":"Haplotype‐based genotyping‐by‐sequencing in oat genome research","year":2018,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Agricultural Research Service; University of Illinois at Urbana-Champaign; Louisiana State University; South Dakota State University; University of Minnesota; North Dakota State University; U.S. Department of Agriculture","keywords":"Haplotype; Biology; Genetics; Genotyping; Genome; Single-nucleotide polymorphism; Tag SNP; SNP; Haplotype estimation; Genome-wide association study; Reference genome; Genotype; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008383006,0.0001725771,0.0001742499,0.0003155465,0.0002951716,0.00003561811,0.0005882167,0.0006094854,0.00008013485],"category_scores_gemma":[0.0001673058,0.0001600548,0.00005100431,0.0002684023,0.0006142628,0.000004124253,0.0001484964,0.0008393382,0.00007593113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043557,"about_ca_system_score_gemma":0.0003539483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002808627,"about_ca_topic_score_gemma":0.00009130608,"domain_scores_codex":[0.9982594,0.0001524739,0.0003144916,0.0003979752,0.0002139009,0.0006617845],"domain_scores_gemma":[0.9992667,0.00002843519,0.00009380188,0.0003716818,0.0001276659,0.0001117174],"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":[0.0001814434,0.00005590431,0.001379063,0.000008370661,0.00003672177,0.00001720426,0.00007581843,0.0001079363,0.9900443,0.001677829,0.003240334,0.003175068],"study_design_scores_gemma":[0.001795899,0.003077202,0.01150708,0.00008657056,0.00001968487,0.001225176,0.0003275968,0.0002539129,0.7898638,0.007666605,0.1835481,0.0006284061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799519,0.00252485,0.01449251,0.001178848,0.0003245062,0.0001737203,0.00004536486,0.00003262901,0.001275743],"genre_scores_gemma":[0.9809802,0.0002194915,0.01771456,0.0002816233,0.0004908735,0.000008747918,0.00004904855,0.00002848368,0.0002269306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2001806,"threshold_uncertainty_score":0.6526845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03892335660477364,"score_gpt":0.2919545110354017,"score_spread":0.2530311544306281,"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."}}