{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006438605,0.000090562,0.00009342347,0.00002808588,0.00009770392,0.00002283164,0.0001438522,0.00015419,0.000003017105],"category_scores_gemma":[0.00001862411,0.00008438727,0.00002150741,0.0000552764,0.00008864795,0.000001700107,0.00002172113,0.0000757256,2.878603e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002857108,"about_ca_system_score_gemma":0.0002629102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009520824,"about_ca_topic_score_gemma":0.001784087,"domain_scores_codex":[0.9994152,0.00002056534,0.000181302,0.000178334,0.00006266838,0.0001419152],"domain_scores_gemma":[0.9996835,0.00001070098,0.00005895917,0.0001328352,0.00003374208,0.00008026025],"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":[0.0007195367,0.0001654926,0.3270952,0.0003105099,0.0003162542,8.839131e-7,0.006167016,0.0372972,0.3918025,0.001449716,0.01792561,0.2167501],"study_design_scores_gemma":[0.001033569,0.0002723484,0.7379206,0.00001644355,0.00004312667,9.317916e-7,0.00118943,0.002804973,0.1495879,0.0001283863,0.1067218,0.0002804466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876593,0.001951929,0.1091136,0.0005188006,0.0001894102,0.0004311413,0.00006551052,0.000002870068,0.00006750968],"genre_scores_gemma":[0.8129568,0.00003747725,0.1865627,0.0002000857,0.00006356908,0.00002838116,0.0001332251,0.000009613407,0.000008179051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4108254,"threshold_uncertainty_score":0.3441213,"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."}}