{"id":"W2622304925","doi":"10.1111/acel.12621","title":"Reprogramming progeria fibroblasts re‐establishes a normal epigenetic landscape","year":2017,"lang":"en","type":"article","venue":"Aging Cell","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; University of Alberta; Ottawa Hospital; Hospital for Sick Children; University of Ottawa","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Ontario Ministry of Research and Innovation; Ottawa Hospital Research Institute; Progeria Research Foundation","keywords":"Biology; Reprogramming; Epigenetics; Induced pluripotent stem cell; Progeria; Lamin; Nuclear lamina; Cell biology; LMNA; Genetics; Cancer research; Embryonic stem cell; Cell; Gene; Nuclear protein","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":[0.0003161987,0.0003500189,0.0002585228,0.000303163,0.000218052,0.0004489849,0.000240547,0.0003533715,0.001940923],"category_scores_gemma":[0.0002296312,0.0001283064,0.000282093,0.0001577452,0.000223973,0.0002142229,0.0002793121,0.0005668468,0.0007156678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687687,"about_ca_system_score_gemma":0.0002485306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003839019,"about_ca_topic_score_gemma":0.000620574,"domain_scores_codex":[0.9998361,0.00002366431,0.00002095394,0.00004511016,0.00005465399,0.00001948519],"domain_scores_gemma":[0.999861,0.00003428644,0.00002478712,0.00004814866,0.00001684098,0.00001495025],"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":[0.0000460169,0.00002614381,0.0007334579,0.00003468986,0.000009254082,0.0003105262,0.00005012815,0.0003235083,0.9921638,0.0007145554,0.0001096663,0.005478305],"study_design_scores_gemma":[0.0000200447,0.0002826485,0.003905113,0.00002025812,0.00003945533,0.001789949,0.00006228601,0.001881655,0.9697596,0.0004609323,0.02176494,0.00001309214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285052,0.001037456,0.05382699,0.0002436367,0.0001469119,0.0004383248,0.003331573,0.0006794002,0.01179055],"genre_scores_gemma":[0.9700865,0.001308693,0.0180773,0.0001948492,0.00002425169,0.0003463863,0.002459798,0.0001291621,0.007372968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001940923,"threshold_uncertainty_score":0.006493092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007085605795274941,"score_gpt":0.2288071662915101,"score_spread":0.2217215604962351,"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."}}