{"id":"W3107158409","doi":"10.3389/fgene.2020.585999","title":"Development of SNP-Based Genomic Tools for the Canadian Bison Industry: Parentage Verification and Subspecies Composition","year":2020,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs; Compute Canada; Western Canada Research Grid; Alberta Agriculture and Forestry","keywords":"Subspecies; Single-nucleotide polymorphism; SNP; Crossbreed; Biology; SNP genotyping; Purebred; Genetics; Computational biology; Genotype; Zoology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002815408,0.001188334,0.0008553793,0.002440449,0.001097083,0.001294628,0.00164597,0.0006731818,0.003400595],"category_scores_gemma":[0.003226675,0.000570341,0.0008499552,0.001920966,0.0005783949,0.0006646342,0.002107333,0.001076543,0.001420658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002297836,"about_ca_system_score_gemma":0.007698623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1428641,"about_ca_topic_score_gemma":0.2881026,"domain_scores_codex":[0.9981729,0.0001928018,0.00007628203,0.000499094,0.0008267948,0.000232189],"domain_scores_gemma":[0.9979597,0.0004696941,0.0002540071,0.0002316173,0.0007500481,0.0003348241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001049935,0.0001894015,0.04157008,0.0008727754,0.000333047,0.0009492527,0.001248636,0.01289297,0.5632825,0.005905739,0.01086058,0.360845],"study_design_scores_gemma":[0.0004202593,0.0009461779,0.264737,0.0005690551,0.001075289,0.002358149,0.001134408,0.0714102,0.3752256,0.006274581,0.2751801,0.0006692421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3399,0.00352551,0.5788813,0.001236681,0.0002657286,0.001451566,0.04273607,0.01712113,0.01488207],"genre_scores_gemma":[0.1786887,0.001270445,0.7743437,0.0004291279,0.00003662291,0.0005326596,0.0367891,0.001179962,0.006729729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.857136,"threshold_uncertainty_score":0.2840649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03913768791615152,"score_gpt":0.2442159963407574,"score_spread":0.2050783084246059,"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."}}