{"id":"W4205272273","doi":"10.1101/2022.01.13.476191","title":"cGAS recruitment to micronuclei is dictated by pre-existing nuclear chromatin status","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"interferon and immune responses","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; Genentech; European Federation of Pharmaceutical Industries and Associations; University of Toronto; Ontario Genomics Institute; Merck KGaA; Ontario Genomics; Genome Canada; McGill University; Bayer; Princess Margaret Cancer Foundation; Pfizer; Bristol-Myers Squibb","keywords":"Chromatin; Cell biology; Micronucleus test; Histone; Cytosol; Biology; DNA damage; Epigenetics; Transcription (linguistics); Chemistry; DNA; Genetics; Biochemistry; Gene; Enzyme","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":[0.000181555,0.0001548236,0.0002138476,0.0001153768,0.0001350421,0.0003811209,0.000119912,0.0002303598,0.001628257],"category_scores_gemma":[0.000158408,0.0001156978,0.0001336579,0.00007864565,0.0002477678,0.0001602641,0.0002861423,0.0004511328,0.0006326827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225626,"about_ca_system_score_gemma":0.0001753602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003637976,"about_ca_topic_score_gemma":0.0005529154,"domain_scores_codex":[0.9998469,0.00001823718,0.00001312067,0.00004957347,0.00003685211,0.00003527157],"domain_scores_gemma":[0.9998629,0.00002241189,0.00004015918,0.00002389098,0.00001410201,0.00003655886],"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":[0.00004955748,0.000002411622,0.0002642779,0.00001377048,0.000001195587,0.00001290915,0.000007291689,0.00001366305,0.9992718,0.00004247937,0.00001370059,0.000306877],"study_design_scores_gemma":[0.000006142666,0.00006878552,0.01193669,0.000004841006,0.000003184665,0.0001489537,0.00002829493,0.0003334174,0.9857818,0.00004637075,0.001638588,0.000002891436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943873,0.001210436,0.002580175,0.00008572528,0.00002376794,0.00001089922,0.0003248861,0.00007136998,0.00130544],"genre_scores_gemma":[0.996281,0.0002742186,0.001019194,0.00003471501,0.000006671763,0.00001274048,0.0004579023,0.00001954659,0.001894086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001628257,"threshold_uncertainty_score":0.00544703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592541959790909,"score_gpt":0.2615820333833964,"score_spread":0.2356566137854873,"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."}}