{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007580611,0.0007093391,0.00120098,0.003551399,0.0002202172,0.0008988869,0.0009009144,0.0009201654,0.003266518],"category_scores_gemma":[0.001060203,0.0002597222,0.0004896072,0.002394931,0.0005199349,0.001247085,0.0005334853,0.001119203,0.001450929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005313248,"about_ca_system_score_gemma":0.001023023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205331,"about_ca_topic_score_gemma":0.002107169,"domain_scores_codex":[0.9998161,0.00002537527,0.00002854629,0.00004772087,0.00006522892,0.00001704192],"domain_scores_gemma":[0.9994975,0.0002656759,0.00006611265,0.00001787414,0.0001180291,0.00003475284],"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":[0.00004915082,0.00003789481,0.0003557733,0.0192351,0.0001092551,0.0002043945,0.00005869655,0.0003029421,0.002438922,0.004302762,0.01267322,0.9602318],"study_design_scores_gemma":[0.00000949175,0.00007742018,0.001479224,0.00359946,0.0001760507,0.001735244,0.00009277098,0.00008848741,0.00127714,0.002369696,0.9890709,0.0000241692],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001469869,0.9983011,0.0002443738,0.0002046264,0.0001098602,0.000005050034,0.00003366784,0.000008416841,0.0009460385],"genre_scores_gemma":[0.000895089,0.9979253,0.0003793023,0.0001322814,0.0000615543,0.000006464424,0.00006058185,0.000002198424,0.0005373124],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003551399,"threshold_uncertainty_score":0.01092756,"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."}}