{"id":"W2984608145","doi":"10.1111/1755-0998.13115","title":"Museum epigenomics: Characterizing cytosine methylation in historic museum specimens","year":2019,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Compute Canada; University of Michigan; Western Canada Research Grid; University of Miami; National Science Foundation","keywords":"Biology; DNA methylation; Methylation; Epigenetics; Epigenomics; Evolutionary biology; Genetics; Gene; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004139491,0.0002322757,0.0002934793,0.0002253041,0.00006241661,0.0000274771,0.0002353116,0.0003298461,0.00009357643],"category_scores_gemma":[0.00008268863,0.0002577251,0.0001131673,0.0001801716,0.00005414472,0.000007176186,0.0001455568,0.0001710157,0.00009684905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009923206,"about_ca_system_score_gemma":0.00004904027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003393501,"about_ca_topic_score_gemma":0.0001303942,"domain_scores_codex":[0.9982674,0.0002110821,0.0003961751,0.0005839668,0.0001347494,0.0004066705],"domain_scores_gemma":[0.9991566,0.00003021035,0.0001940429,0.0004771017,0.00006134473,0.00008071544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006272753,0.00006078508,0.04849168,0.00001416767,0.00003459085,0.00001340313,0.0001861323,0.0006003416,0.9500202,0.00005226998,0.00002248634,0.0004412428],"study_design_scores_gemma":[0.00105749,0.0004877088,0.2236253,0.00001351569,0.00002644729,0.000006047027,0.00007723222,0.0002591427,0.6406594,0.0002032686,0.1331363,0.0004481621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944653,0.00197744,0.0004505331,0.0004657712,0.0004090733,0.0003754188,0.000006919372,0.00001944575,0.00183011],"genre_scores_gemma":[0.9978651,0.0002357944,0.0006234801,0.0003451621,0.0001605728,0.00003009918,0.0001554125,0.0000503983,0.0005339469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3093608,"threshold_uncertainty_score":0.9999875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005799193676350752,"score_gpt":0.2179609935394623,"score_spread":0.2121617998631115,"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."}}