{"id":"W3159102117","doi":"10.1093/gigascience/giab029","title":"The germline mutational process in rhesus macaque and its implications for phylogenetic dating","year":2021,"lang":"en","type":"article","venue":"GigaScience","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"European Research Council; Novo Nordisk Fonden; Carlsbergfondet; Aarhus Universitet; Chinese Academy of Sciences; Villum Fonden","keywords":"Macaque; Phylogenetic tree; Germline; Rhesus macaque; Process (computing); Biology; Evolutionary biology; Phylogenetics; Genetics; Computational biology; Computer science; Paleontology; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.001577587,0.0001879343,0.0002417368,0.001150839,0.0005355054,0.0005487017,0.0003325551,0.0002668809,0.0007758278],"category_scores_gemma":[0.004091537,0.00009690061,0.0001841895,0.0007248137,0.0005581292,0.0004558029,0.0004369858,0.0003174924,0.0001123849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854862,"about_ca_system_score_gemma":0.0002253581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881337,"about_ca_topic_score_gemma":0.002407918,"domain_scores_codex":[0.9996229,0.0001443469,0.00002230902,0.0001331101,0.00004954668,0.00002773719],"domain_scores_gemma":[0.998524,0.000783599,0.0003520732,0.0001189795,0.000164435,0.00005691393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001258701,0.00002646418,0.8918375,0.0001407724,0.0002007074,0.0005796275,0.001430175,0.00435984,0.05560114,0.004558204,0.0001431509,0.04099656],"study_design_scores_gemma":[0.000007359547,0.00008384217,0.9592298,0.00005578524,0.0001505954,0.001953699,0.0005462712,0.02124182,0.008452172,0.005139123,0.003106342,0.00003329412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913994,0.001787518,0.005852302,0.0000759735,0.00001059853,0.000004459618,0.00006997932,0.00002368595,0.0007759414],"genre_scores_gemma":[0.9979627,0.0002850089,0.001579462,0.00002092342,0.00001058896,0.00000460378,0.00004854709,0.000008439229,0.0000796854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001881337,"threshold_uncertainty_score":0.00834316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531391831618561,"score_gpt":0.306229397649273,"score_spread":0.2909154793330874,"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."}}