{"id":"W2108056324","doi":"","title":"Genome-Wide Selection for Improvement of Indigenous Pigs in Tropical Developing Countries","year":2012,"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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Foreign Affairs and International Trade Canada","keywords":"Best linear unbiased prediction; Genetic gain; Heritability; Genomic selection; Selection (genetic algorithm); Biology; Linkage disequilibrium; Indigenous; Biotechnology; Single-nucleotide polymorphism; Genetics; Genetic variation; Machine learning; Genotype; Computer science; Gene; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001896647,0.0002563552,0.0003005636,0.0006519147,0.0002218037,0.0004184238,0.0003622221,0.0001660127,0.0008277064],"category_scores_gemma":[0.0008903145,0.0001129919,0.0005421134,0.001044948,0.0001392988,0.0001500929,0.0003037462,0.0002249013,0.0001032796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116662,"about_ca_system_score_gemma":0.0005154993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004309234,"about_ca_topic_score_gemma":0.009748143,"domain_scores_codex":[0.9997246,0.0001310615,0.00001525645,0.00005109819,0.00003904067,0.00003892907],"domain_scores_gemma":[0.9997202,0.0001114558,0.0000689302,0.00003132664,0.00004420208,0.00002396359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001280532,0.0003594063,0.5047904,0.0005662654,0.001756628,0.001644013,0.001023985,0.031548,0.2757859,0.001206791,0.001128126,0.1789099],"study_design_scores_gemma":[0.0001112797,0.0005445902,0.957054,0.0001034102,0.0008583136,0.0003555654,0.0005224358,0.02369393,0.01310849,0.0003546867,0.003258487,0.00003481446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935209,0.0005754053,0.004628907,0.00006360485,0.000006664749,0.00003619774,0.000303924,0.00003864096,0.0008258241],"genre_scores_gemma":[0.9895204,0.0005822595,0.009098188,0.00004264291,0.000005050532,0.0000324563,0.0004703288,0.00000989097,0.0002386877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004309234,"threshold_uncertainty_score":0.01003057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009506692671488473,"score_gpt":0.2188778030309084,"score_spread":0.2093711103594199,"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."}}