{"id":"W6948418850","doi":"10.5061/dryad.w0vt4b8m3","title":"Museum epigenomics: characterizing cytosine methylation in historic museum specimens","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"DNA methylation; Methylation; Cytosine; Epigenetics; Autosome; Gene; CpG site","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":[0.0006615361,0.0002690566,0.0002133405,0.001486233,0.0005923404,0.0005033181,0.0004351466,0.0004574567,0.001357182],"category_scores_gemma":[0.0009547331,0.0002650849,0.0002728819,0.001253593,0.0004807674,0.0003267596,0.0006047797,0.0003576267,0.0004700742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443458,"about_ca_system_score_gemma":0.0002510125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004045228,"about_ca_topic_score_gemma":0.02242115,"domain_scores_codex":[0.9996688,0.00004638696,0.0000213795,0.0001243771,0.0001095363,0.00002961388],"domain_scores_gemma":[0.999541,0.0000513931,0.0001515923,0.00007877627,0.0001369085,0.00004033429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001361202,0.00002992337,0.3100646,0.0002486634,0.0002253628,0.0002320124,0.001771009,0.0004266834,0.631556,0.0004328514,0.0005158145,0.05436099],"study_design_scores_gemma":[0.000005627915,0.0001755766,0.9179255,0.0000494905,0.0001389416,0.0008917084,0.0004953198,0.0008927251,0.06620114,0.0003151911,0.01288157,0.00002719218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9686751,0.001592428,0.02234483,0.0000816102,0.00002508571,0.0001050128,0.003508281,0.0001869554,0.003480777],"genre_scores_gemma":[0.9248976,0.00157529,0.06381984,0.0001747456,0.00004675044,0.0001900361,0.005828,0.0001518025,0.003316011],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.004045228,"threshold_uncertainty_score":0.008043349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0525850511866632,"score_gpt":0.2415487256731651,"score_spread":0.1889636744865019,"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."}}