{"id":"W2147078817","doi":"10.1071/an11119","title":"Genomic selection in French dairy cattle","year":2012,"lang":"en","type":"preprint","venue":"Animal Production Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Genomic selection; Selection (genetic algorithm); Dairy cattle; Computer science; Computational biology; Biology; Genetics; Artificial intelligence; Gene; 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":[0.0006512481,0.0001740903,0.000126443,0.00009792258,0.0001294811,0.00004140675,0.0004064082,0.000185709,0.00002920221],"category_scores_gemma":[0.0001317001,0.0001811257,0.00004280972,0.0002629669,0.0003511905,0.000009697578,0.0004635436,0.0002915355,0.00003384058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006562322,"about_ca_system_score_gemma":0.0004585584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099062,"about_ca_topic_score_gemma":0.00006249791,"domain_scores_codex":[0.9982902,0.00004326733,0.0002217851,0.0008546335,0.0002200145,0.0003700416],"domain_scores_gemma":[0.9993246,0.000002726632,0.0001154184,0.0003449971,0.0001283035,0.00008395189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002898169,0.00009651845,0.02498938,0.00003152883,0.000008030177,5.729028e-8,0.000274202,0.004797339,0.9661361,0.0003359941,0.001243946,0.002057921],"study_design_scores_gemma":[0.00007533494,0.0001235492,0.8906739,0.00001367563,0.000009966216,0.00002010517,0.00003423551,0.0000187943,0.1057817,0.0008009247,0.002206019,0.000241781],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950354,0.0009184881,0.0008889901,0.0001558155,0.001456004,0.000284286,0.000005028457,0.00001675696,0.001239205],"genre_scores_gemma":[0.9882755,0.00004521627,0.00950896,0.00004151626,0.001332776,0.00003520544,0.00001963024,0.00001442378,0.0007267449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8656845,"threshold_uncertainty_score":0.7386094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247959739951244,"score_gpt":0.2759453693213061,"score_spread":0.2534657719217936,"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."}}