{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002002375,0.0003126799,0.0002965836,0.0008658803,0.0005985193,0.0006354217,0.0004013381,0.0003317837,0.003009199],"category_scores_gemma":[0.0008889362,0.00008341097,0.0003450074,0.001082437,0.0004452776,0.0001739412,0.0002919891,0.0002285069,0.0003256757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00293949,"about_ca_system_score_gemma":0.001131127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.109917,"about_ca_topic_score_gemma":0.1089092,"domain_scores_codex":[0.9989069,0.0006232245,0.00002356061,0.0002051986,0.0001256608,0.0001154884],"domain_scores_gemma":[0.9997165,0.0001242725,0.00003940976,0.00002164532,0.00006568121,0.0000325394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001155867,0.0002546066,0.1955009,0.0003690307,0.0004208273,0.0018103,0.001830449,0.01586902,0.03837503,0.03309619,0.01293666,0.6983811],"study_design_scores_gemma":[0.0002868303,0.0009330828,0.7329701,0.0002448493,0.0003405685,0.001837348,0.001334111,0.01929872,0.005413413,0.007341134,0.2298948,0.0001051336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219831,0.01475783,0.02383218,0.002082804,0.0001022851,0.0000847511,0.001587491,0.0003526222,0.03521687],"genre_scores_gemma":[0.9717582,0.003089176,0.0137141,0.0005194538,0.00007814702,0.00007901098,0.001451443,0.00004565615,0.009264732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.109917,"threshold_uncertainty_score":0.2185544,"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."}}