{"id":"W7019476976","doi":"","title":"Genome selection for predicting the estimated breeding value of Canadian Holstein cattle","year":2009,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Lasso (programming language); Feature selection; Single-nucleotide polymorphism; Holstein Cattle; Genomic selection; Variable (mathematics); Value (mathematics); Regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007990695,0.0002940656,0.0002797724,0.0006184566,0.0004507154,0.0004982211,0.0004287799,0.0001585721,0.000874226],"category_scores_gemma":[0.001477004,0.0001301832,0.000302717,0.000620731,0.0002060045,0.0001660568,0.0002306899,0.0003615022,0.0001250187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826816,"about_ca_system_score_gemma":0.002540094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4985715,"about_ca_topic_score_gemma":0.6581831,"domain_scores_codex":[0.9998258,0.00004597818,0.000004080496,0.0000417687,0.00005512165,0.00002743755],"domain_scores_gemma":[0.9997587,0.0001012432,0.00002696547,0.00001794817,0.00007251732,0.00002270489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008535107,0.0001106494,0.4293302,0.00008858905,0.000719677,0.0003133177,0.0003508643,0.1996571,0.02684223,0.002947663,0.004961525,0.3338246],"study_design_scores_gemma":[0.00006710545,0.00009769281,0.5595697,0.00002185512,0.0001804864,0.00007476123,0.0002266367,0.43128,0.004163662,0.001175927,0.003104396,0.00003774671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739039,0.0005136869,0.02249747,0.0001850889,0.00001069215,0.00002321476,0.001112985,0.0001494055,0.001603508],"genre_scores_gemma":[0.9762675,0.0002693584,0.02000031,0.00002981033,0.000007211004,0.00001211905,0.001770612,0.00001930661,0.001623738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5014285,"threshold_uncertainty_score":0.9913391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430348971548916,"score_gpt":0.2219508841677093,"score_spread":0.2076473944522201,"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."}}