{"id":"W4394243177","doi":"10.6084/m9.figshare.22609223","title":"Additional file 3 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Genetic diversity; Diversity (politics); Biology; Signature (topology); Population; Computational biology; Evolutionary biology; Population structure; Whole genome sequencing; Genome; Genetics; Gene; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001205507,0.001130275,0.001291482,0.001948072,0.0008081648,0.001597005,0.001961388,0.001278301,0.5102955],"category_scores_gemma":[0.008522465,0.0005224364,0.0009169753,0.003860408,0.0003067635,0.0009318978,0.001056876,0.0009380346,0.08362243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006780612,"about_ca_system_score_gemma":0.001421149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241609,"about_ca_topic_score_gemma":0.0233558,"domain_scores_codex":[0.9995733,0.00006001223,0.00006983204,0.0001538118,0.00006726341,0.00007580774],"domain_scores_gemma":[0.996396,0.0022566,0.0002990293,0.0003539338,0.0004884752,0.0002059567],"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":[0.0002553327,0.00006090296,0.006918636,0.002933976,0.0001262829,0.0001198997,0.000109688,0.0006374907,0.00038131,0.0007885056,0.9825338,0.005134318],"study_design_scores_gemma":[0.003368087,0.000138313,0.0523651,0.001864225,0.0003785011,0.0004678617,0.0003600076,0.001567094,0.0009209592,0.006327958,0.9321331,0.000108738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001186048,0.000008757257,0.00004727456,0.00001619104,0.000004802976,0.000007315287,0.999595,0.00006451199,0.0001375474],"genre_scores_gemma":[0.001843064,0.00003322563,0.0005631441,0.00007609514,0.00001079252,0.000186792,0.9961044,0.0001200707,0.001062571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5102955,"threshold_uncertainty_score":0.698504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434234413500227,"score_gpt":0.2174382465438964,"score_spread":0.2030959024088941,"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."}}