{"id":"W2598354823","doi":"10.4238/gmr16019522","title":"SNP detection using RNA-sequences of candidate genes associated with puberty in cattle","year":2017,"lang":"en","type":"article","venue":"Genetics and Molecular Research","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Colorado State University; University of Queensland; South Dakota State University; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Wyoming","keywords":"Biology; Single-nucleotide polymorphism; Candidate gene; Genetics; Exon; Gene; Intron; Genotype","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":[0.0004072957,0.000119387,0.0001406707,0.00005616772,0.0003522826,0.00009890188,0.0003531143,0.000143812,0.000004431633],"category_scores_gemma":[0.0001318781,0.0001063962,0.00002694253,0.00004910519,0.0005425225,0.000004580575,0.0002603813,0.0001356048,3.735541e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001476484,"about_ca_system_score_gemma":0.0001142214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009096424,"about_ca_topic_score_gemma":0.00110891,"domain_scores_codex":[0.9988063,0.0001140412,0.0001603771,0.000332877,0.0002644146,0.0003219927],"domain_scores_gemma":[0.9990541,0.00001185402,0.0001186028,0.0005528968,0.0001734222,0.00008911837],"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":[0.00006181887,0.00004690572,0.0166461,0.00001768317,0.00004055407,0.000002811962,0.00003883995,0.0004416393,0.9751976,0.00006846602,0.00001560993,0.007421989],"study_design_scores_gemma":[0.0005755232,0.0004722876,0.141854,0.00003458163,0.00001370119,0.00000505858,0.00005402537,0.00017688,0.8559181,0.0004924106,0.0002540314,0.0001494218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937703,0.002746864,0.002696678,0.00006215326,0.00004348877,0.0001981377,0.00002401573,0.000001820453,0.0004565266],"genre_scores_gemma":[0.9972363,0.00035102,0.002231323,0.00001355579,0.00002801947,0.00001353497,0.00001456911,0.00002055621,0.00009115866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1252079,"threshold_uncertainty_score":0.4338711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05637043156028283,"score_gpt":0.3477556335681028,"score_spread":0.29138520200782,"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."}}