{"id":"W2322477898","doi":"10.1534/g3.115.025775","title":"Increasing Genome Sampling and Improving SNP Genotyping for Genotyping-by-Sequencing with New Combinations of Restriction Enzymes","year":2016,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Genotyping; SNP genotyping; SNP; Molecular Inversion Probe; Genetics; Biology; Restriction enzyme; Computational biology; Genome; Genotype; Single-nucleotide polymorphism; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003013395,0.0003357409,0.000335708,0.0001268046,0.0003131598,0.00004620053,0.0002388288,0.0001737102,0.000003401718],"category_scores_gemma":[0.00003704136,0.0002790777,0.00009420541,0.0001411922,0.0001644731,0.000004927399,0.0002179669,0.00005459895,7.42494e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007043259,"about_ca_system_score_gemma":0.0002873865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001169152,"about_ca_topic_score_gemma":0.00009143584,"domain_scores_codex":[0.9981966,0.00005098918,0.0004722267,0.0006308575,0.0001605234,0.000488826],"domain_scores_gemma":[0.9986886,0.0001077947,0.0003224425,0.0004405011,0.0002751974,0.0001654279],"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":[0.00009598779,0.00002247811,0.01088757,0.00005273941,0.0001411167,2.181268e-7,0.0001330061,0.0003146626,0.8090907,0.0001598686,0.00001491154,0.1790867],"study_design_scores_gemma":[0.005747972,0.002248965,0.02199977,0.0001279191,0.0004610903,0.0001038324,0.0007937925,0.0002888332,0.8628243,0.002010063,0.1017688,0.001624729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6535059,0.2655609,0.08005552,0.0001178157,0.0001078269,0.0004731573,0.0001225106,0.00001056176,0.00004582108],"genre_scores_gemma":[0.8940232,0.06917447,0.03607256,0.00006803199,0.0003210263,0.0000425153,0.00005893855,0.00007755894,0.0001616774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2405173,"threshold_uncertainty_score":0.9999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458990974769831,"score_gpt":0.2464586541249713,"score_spread":0.221868744377273,"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."}}