{"id":"W2313938828","doi":"10.4238/2013.november.22.2","title":"In-depth pedigree analysis in a large Brazilian Nellore herd","year":2013,"lang":"en","type":"article","venue":"Genetics and Molecular Research","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; L'Alliance Boviteq","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Herd; Biology; Animal science","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":[0.0004682222,0.0001712682,0.0002065053,0.000257805,0.0001049917,0.0001094658,0.0003911871,0.000209376,0.00009870191],"category_scores_gemma":[0.0000660409,0.0001736445,0.0000750826,0.0004708946,0.0001862569,0.000005181741,0.0004422409,0.0002777207,0.00002042622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001395335,"about_ca_system_score_gemma":0.00006324676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004235059,"about_ca_topic_score_gemma":0.001274221,"domain_scores_codex":[0.9980077,0.0001802975,0.0002593487,0.000576108,0.0003139805,0.0006626057],"domain_scores_gemma":[0.9990305,0.00001587381,0.0000365165,0.0006124879,0.0001163408,0.0001882796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009821119,0.0006519235,0.514185,0.00008607178,0.0003772885,0.00003717865,0.0006464757,0.0008539921,0.4551622,0.003367706,0.00965537,0.01487855],"study_design_scores_gemma":[0.001551074,0.0005429295,0.9461132,0.00001401206,0.0000399124,0.000005110708,0.0004054658,0.0005966307,0.03103465,0.006091426,0.01316434,0.0004413114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905161,0.00346935,0.00227293,0.0005521529,0.00003664662,0.0004270465,0.00001485965,0.00000307216,0.00270783],"genre_scores_gemma":[0.9955023,0.000469491,0.002708565,0.0002765594,0.0000538781,0.00008294573,0.00004900035,0.00002717356,0.0008300693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4319282,"threshold_uncertainty_score":0.7081017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085753847547945,"score_gpt":0.3271677874260565,"score_spread":0.3063102489505771,"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."}}