{"id":"W4392246539","doi":"10.1016/j.molcel.2024.02.001","title":"The proteomic landscape of genotoxic stress-induced micronuclei","year":2024,"lang":"en","type":"article","venue":"Molecular Cell","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute; Leukemia and Lymphoma Society of Canada; University of Toronto; J.P. Bickell Foundation; Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation","keywords":"Biology; Spliceosome; DNA damage; Micronucleus test; Proteome; Cell biology; Nucleoplasm; Cytoplasm; Genetics; Replisome; DNA repair; RNA splicing; Nuclear protein; DNA; Computational biology; Transcription factor; Gene; Nucleolus; Eukaryotic DNA replication","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":[0.000160628,0.0001438968,0.0001003937,0.0000326839,0.00005568484,0.00004949794,0.000289124,0.0001236995,0.00001984286],"category_scores_gemma":[0.00001790538,0.0001096619,0.0001478593,0.00009328303,0.00003811342,0.000001858516,0.0001375407,0.0001008539,0.00004297121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008811217,"about_ca_system_score_gemma":0.0000860182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006483974,"about_ca_topic_score_gemma":0.000004665187,"domain_scores_codex":[0.9990658,0.00006094679,0.0001797974,0.0003174631,0.0001409055,0.0002350561],"domain_scores_gemma":[0.9993618,0.000008237164,0.00004507149,0.0004967077,0.00003735575,0.00005079134],"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":[0.00001872536,0.00002548787,0.00002962101,0.00006258041,0.00004650586,0.00002522534,0.0000283318,0.00001813829,0.997421,0.000196685,0.0005040891,0.001623574],"study_design_scores_gemma":[0.0001585986,0.000178143,0.00002828031,0.0000204462,0.00002323126,0.000007134251,0.0000326185,0.0002136043,0.9847757,0.000138726,0.01429403,0.0001294753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899952,0.004277345,0.001160142,0.00009033596,0.0002116352,0.0003413085,0.00001870203,0.00003036959,0.003874971],"genre_scores_gemma":[0.9979538,0.00009271865,0.000601149,0.00005926411,0.00006785957,0.00003744046,0.00003399951,0.00004636542,0.001107406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378995,"threshold_uncertainty_score":0.4471881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00459610922184061,"score_gpt":0.2123355326418553,"score_spread":0.2077394234200147,"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."}}