{"id":"W4410125214","doi":"10.1111/1755-0998.14120","title":"Designing Epigenetic Clocks for Wildlife Research","year":2025,"lang":"en","type":"review","venue":"Molecular Ecology Resources","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nunavut; Environment and Climate Change Canada; Children's Hospital Research Institute of Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Churchill Northern Studies Centre; Parks Canada; World Wildlife Fund","keywords":"Wildlife; Biology; Epigenetics; Workflow; DNA methylation; Sampling (signal processing); Environmental resource management; Computational biology; Ecology; Computer science; Genetics; Database; Telecommunications","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001641256,0.0005143179,0.001163066,0.0005123384,0.0003839057,0.0000819065,0.0007985122,0.001389795,0.00001505078],"category_scores_gemma":[0.00130675,0.000501845,0.000688763,0.000425939,0.0002576634,0.000001642511,0.0004737534,0.0004709784,0.00002262157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006589723,"about_ca_system_score_gemma":0.0006383097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005966351,"about_ca_topic_score_gemma":0.00002771251,"domain_scores_codex":[0.9957511,0.00124517,0.0007313115,0.001162367,0.0002659284,0.0008440837],"domain_scores_gemma":[0.9977704,0.0005540501,0.0002864322,0.0009138788,0.0003199477,0.0001553317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008425517,0.0002531042,0.0002058207,0.01791605,0.001311153,0.00005647603,0.00009878226,0.0002313317,0.01115894,0.0002510746,0.00722703,0.961206],"study_design_scores_gemma":[0.0002796253,0.0005408014,0.000008103117,0.001084826,0.0003837031,0.000005583113,0.00001854276,0.000005142075,0.004060008,0.0003861103,0.9927803,0.0004472085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007647501,0.986782,0.008718284,0.00006239198,0.0002979523,0.002020527,0.00005787399,0.00002371477,0.0012725],"genre_scores_gemma":[0.0002229327,0.9912926,0.003066838,0.0001572289,0.0003957214,0.001245219,0.0006426304,0.0001170338,0.002859789],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9855533,"threshold_uncertainty_score":0.9999066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05581882260032811,"score_gpt":0.3952365693767759,"score_spread":0.3394177467764478,"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."}}