{"id":"W4394881884","doi":"10.1038/s41594-024-01286-7","title":"DNA double-strand break–capturing nuclear envelope tubules drive DNA repair","year":2024,"lang":"en","type":"article","venue":"Nature Structural & Molecular Biology","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Royal Society of Canada; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Lamin; Cell biology; Biology; DNA repair; Nuclear lamina; DNA damage; Nuclear protein; DNA; Genetics; Nucleus; Transcription factor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001276479,0.0004802695,0.0003385874,0.0001482289,0.0001879443,0.0001003333,0.0003723462,0.001324363,0.0001901793],"category_scores_gemma":[0.0000482629,0.0003937453,0.0004157204,0.0002316121,0.0002342755,0.00001597891,0.0002278818,0.0008583653,0.00004546691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004320176,"about_ca_system_score_gemma":0.00008005231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002706833,"about_ca_topic_score_gemma":0.00002260453,"domain_scores_codex":[0.9977165,0.000106208,0.0003457149,0.001079593,0.0001823166,0.0005696486],"domain_scores_gemma":[0.9990554,0.00001289675,0.00007923646,0.0005833224,0.0001090697,0.000160001],"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":[0.000324319,0.000005786392,0.0001623813,0.00005798647,0.0003609595,0.00009202337,0.00008385574,0.00001697848,0.9733102,0.01864958,0.002825385,0.004110598],"study_design_scores_gemma":[0.001633537,0.0007168942,0.004293475,0.00007221822,0.0002144452,0.000973183,0.0001054587,0.0002212013,0.5489106,0.004782925,0.4369108,0.001165189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986294,0.006541833,0.000332577,0.0007728614,0.002337471,0.0003442448,0.00007894797,0.0002858001,0.003012285],"genre_scores_gemma":[0.9949913,0.0001130167,0.001678437,0.00126793,0.0009508061,0.000009617948,0.0005779058,0.0001004545,0.0003105384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4340855,"threshold_uncertainty_score":0.9999721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003414201174573509,"score_gpt":0.2549434921719861,"score_spread":0.2515292909974126,"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."}}