{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053328,0.0002122866,0.0002285302,0.0004919253,0.0002749321,0.0003028839,0.00008085977,0.0001995158,0.001019837],"category_scores_gemma":[0.0001586069,0.0001322534,0.0001677716,0.0004245516,0.0001201683,0.0001686556,0.0003708323,0.0002357006,0.0003293593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001227942,"about_ca_system_score_gemma":0.0001511017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005661888,"about_ca_topic_score_gemma":0.001033626,"domain_scores_codex":[0.9999284,0.000006159089,0.000005281579,0.00002830772,0.00001938898,0.00001246024],"domain_scores_gemma":[0.999923,0.00001099859,0.00002002953,0.000008135515,0.00002224299,0.0000156086],"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":[0.00006417542,0.000004370668,0.003901508,0.00007317261,0.00002288315,0.00004637687,0.00003877194,0.00005795953,0.9938815,0.00003316492,0.0001041471,0.001772035],"study_design_scores_gemma":[0.000009000284,0.0002454087,0.4216231,0.00003402254,0.00009755745,0.001591117,0.0003724266,0.001169573,0.5640612,0.0004556153,0.0103169,0.00002391478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847006,0.002974352,0.003509968,0.0001136431,0.00001900109,0.0000189694,0.007366911,0.00009068214,0.001205959],"genre_scores_gemma":[0.9742098,0.00313951,0.004345709,0.0002118899,0.00001974958,0.00005216349,0.01560197,0.00005978658,0.002359383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001019837,"threshold_uncertainty_score":0.00341171,"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."}}