{"id":"W4388946191","doi":"10.1101/2023.11.22.568330","title":"Epigenetic clocks, sex markers, and age-class diagnostics in three harvested large mammals","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba; Ministry of Natural Resources and Forestry; Trent University","funders":"California Department of Fish and Wildlife; Alaska Department of Fish and Game; Trent University; Washington Department of Fish and Wildlife; Texas Parks and Wildlife Department; Natural Sciences and Engineering Research Council of Canada; Massachusetts Department of Fish and Game","keywords":"Epigenetics; CpG site; DNA methylation; Biology; Evolutionary biology; Methylation; White (mutation); Range (aeronautics); Zoology; Genetics; Ecology; DNA; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001054605,0.0001532906,0.0002049852,0.000540784,0.000196346,0.0003082723,0.0003028515,0.0002126869,0.0006649569],"category_scores_gemma":[0.001394411,0.0001305825,0.000274635,0.0003307784,0.0003465867,0.0002203732,0.0003476774,0.0001814008,0.00009516639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864827,"about_ca_system_score_gemma":0.0001520852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003251817,"about_ca_topic_score_gemma":0.005664685,"domain_scores_codex":[0.9997842,0.00006458336,0.000008712336,0.0001034406,0.00002472763,0.00001439164],"domain_scores_gemma":[0.9993891,0.0003011258,0.0001460098,0.00006052057,0.00005675446,0.0000464923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002734031,0.00005320037,0.8883188,0.00005545168,0.0002198471,0.0001239581,0.0005789172,0.005946933,0.08136787,0.0006352315,0.0001188579,0.02230754],"study_design_scores_gemma":[0.000008688333,0.0002058267,0.9692172,0.000006975255,0.00008347574,0.0001691865,0.0002713041,0.01739947,0.0112057,0.0006993503,0.0007154929,0.00001735362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928923,0.00006847437,0.006688122,0.000008838594,0.000001667895,0.000006421089,0.0001735866,0.00001743486,0.0001432058],"genre_scores_gemma":[0.9903623,0.00004019676,0.008833609,0.00001322594,0.000003300766,0.00001699346,0.0004642192,0.00001173854,0.0002544354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003251817,"threshold_uncertainty_score":0.006465793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648331966445826,"score_gpt":0.2360123341105872,"score_spread":0.2195290144461289,"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."}}