{"id":"W2967439527","doi":"10.1111/dgd.12423","title":"Identifying co‐opted transposable elements using comparative epigenomics","year":2018,"lang":"en","type":"review","venue":"Development Growth & Differentiation","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; Ontario Genomics; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Kyoto University","keywords":"Transposable element; Epigenomics; Computational biology; Biology; Computer science; Evolutionary biology; Genetics; Genome; DNA methylation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001984312,0.0004606403,0.0008837017,0.00006424597,0.0006382133,0.0001886265,0.0003643089,0.0002553058,0.0007189639],"category_scores_gemma":[0.00001062884,0.0002135646,0.0002572314,0.0004834413,0.00003635903,0.0001388664,0.00007474052,0.0001662226,0.0002616373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002641683,"about_ca_system_score_gemma":0.0001007991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002068422,"about_ca_topic_score_gemma":0.0001670017,"domain_scores_codex":[0.9975067,0.0001763217,0.0009712426,0.0005764147,0.000354862,0.0004144346],"domain_scores_gemma":[0.9989671,0.0001007234,0.0005946786,0.00007645144,0.0001453924,0.0001157081],"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":[0.00003398653,0.0009079651,0.004863012,0.005141183,0.001869576,0.0000078432,0.003238847,0.000001776362,0.002124665,0.0006095072,0.0004432797,0.9807584],"study_design_scores_gemma":[0.0003867121,0.00009712511,0.01368706,0.004016505,0.0009340873,0.00001505137,0.0001221913,0.0002324064,0.001110796,0.0004213336,0.9774641,0.001512654],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1049407,0.8891682,0.0006599228,0.00002120711,0.001124206,0.002537539,0.0004829256,0.0002109063,0.0008543718],"genre_scores_gemma":[0.01220102,0.970625,0.003232874,0.00003063576,0.0006412655,0.0001694714,0.01276641,0.000009771393,0.0003235302],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9792457,"threshold_uncertainty_score":0.870891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1636403677905263,"score_gpt":0.3326300700938149,"score_spread":0.1689897023032886,"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."}}