{"id":"W4361279070","doi":"10.1111/1755-0998.13791","title":"<scp>DNA</scp> methylation‐based biomarkers for ageing long‐lived cetaceans","year":2023,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"LGL (Canada); Fisheries and Oceans Canada","funders":"Paul G. Allen Family Foundation","keywords":"Biology; Ageing; DNA methylation; Methylation; DNA; Computational biology; Evolutionary biology; Genetics; Gene; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721822,0.0002138574,0.00027883,0.0001045009,0.0003416849,0.00003395851,0.0003756578,0.0001306674,0.0004258566],"category_scores_gemma":[0.0006086043,0.0002128209,0.0001843635,0.0006313322,0.0002388318,0.00005790492,0.0004758022,0.00009827476,0.0006945094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098581,"about_ca_system_score_gemma":0.000009354889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001456892,"about_ca_topic_score_gemma":0.001283488,"domain_scores_codex":[0.9982217,0.0001751098,0.0002633848,0.0005178225,0.000238111,0.0005838692],"domain_scores_gemma":[0.9988683,0.0005849861,0.0001338548,0.0002904184,0.00001544235,0.0001070414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004610172,0.0001707744,0.897154,0.0001610144,0.0005419585,0.0005698412,0.001444642,0.01010962,0.0361848,0.00007833187,0.04537604,0.008162853],"study_design_scores_gemma":[0.0006721917,0.0002044879,0.7981076,0.000008612627,0.00008727663,0.000002821202,0.0002479656,0.005190293,0.005297799,0.000345643,0.1896983,0.0001369448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844359,0.000172068,0.00114413,0.0006885577,0.00009793298,0.000592145,0.000008882864,0.0001900875,0.01267034],"genre_scores_gemma":[0.9950154,0.00002620323,0.001375905,0.001405086,0.00003186298,0.0002141234,0.00004030101,0.00004705582,0.001844075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1443223,"threshold_uncertainty_score":0.8926744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883530328067393,"score_gpt":0.2528643747953394,"score_spread":0.2340290715146655,"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."}}