{"id":"W6945961592","doi":"10.3389/fgene.2020.585999.s002","title":"Table_2_Development of SNP-Based Genomic Tools for the Canadian Bison Industry: Parentage Verification and Subspecies Composition.XLSX","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Single-nucleotide polymorphism; Crossbreed; SNP; Purebred; Selection (genetic algorithm); Animal breeding; SNP genotyping; Breed","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002130197,0.003031653,0.001771642,0.006301187,0.002225883,0.00322016,0.004232343,0.001157714,0.4065889],"category_scores_gemma":[0.008650903,0.001927394,0.001552663,0.008402209,0.00069765,0.001892082,0.00211253,0.001805636,0.1185697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00382661,"about_ca_system_score_gemma":0.008499268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1036003,"about_ca_topic_score_gemma":0.1839004,"domain_scores_codex":[0.9984846,0.0001079576,0.0001354166,0.0002611018,0.0008351457,0.0001758599],"domain_scores_gemma":[0.9951887,0.001513756,0.0004176309,0.0003912253,0.001984799,0.0005039425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006344618,0.00008862258,0.004050672,0.005021657,0.0001464744,0.0004699415,0.0003787793,0.001815138,0.01378184,0.003557354,0.871895,0.09816011],"study_design_scores_gemma":[0.0002793112,0.0001026751,0.01047457,0.0005038454,0.00008532731,0.0002674,0.0001521288,0.001120364,0.0072549,0.001528448,0.9781138,0.0001171367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002577538,0.000616995,0.01686982,0.0004652954,0.0003663768,0.0006943965,0.9249968,0.02724768,0.02616516],"genre_scores_gemma":[0.00558531,0.0007163874,0.05028549,0.0005372672,0.00005436219,0.0007291491,0.909323,0.008076943,0.02469222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8963997,"threshold_uncertainty_score":0.8464289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1748729306484392,"score_gpt":0.2280664086282009,"score_spread":0.05319347797976162,"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."}}