{"id":"W4394582083","doi":"10.1016/j.ccell.2024.03.010","title":"Targeting APOBECs in cancer: It’s about timing","year":2024,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Genentech; National Cancer Institute; Ludwig Center at Harvard; National Institutes of Health; Lotte and John Hecht Memorial Foundation; Leukemia and Lymphoma Society of Canada; Amgen; Pfizer; Leukemia and Lymphoma Society; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Mutagenesis; Cytidine; Biology; APOBEC; Computational biology; Drug resistance; Cancer; Genetics; Mutation; Cancer research; Gene; Genome; Enzyme; Biochemistry","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":[0.003466214,0.00038377,0.0008559721,0.0004256311,0.0009539992,0.004475281,0.0007684811,0.002153847,0.005071056],"category_scores_gemma":[0.006165765,0.0003546838,0.0004216068,0.0004683749,0.002778994,0.006722894,0.001174112,0.005821466,0.001363707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002818568,"about_ca_system_score_gemma":0.001883469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176718,"about_ca_topic_score_gemma":0.003852184,"domain_scores_codex":[0.9988973,0.0002958074,0.00005686238,0.0001837856,0.000379742,0.0001864229],"domain_scores_gemma":[0.9970782,0.001378551,0.0003605463,0.0002675341,0.0005697057,0.0003454919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001376129,0.0001604615,0.007467216,0.002193052,0.00026764,0.0006399794,0.001458245,0.00331827,0.08933457,0.3174324,0.09656711,0.4797849],"study_design_scores_gemma":[0.0001830067,0.0006191099,0.003450736,0.000861317,0.0001969435,0.001434354,0.00137003,0.002326073,0.03236395,0.1767142,0.7803226,0.0001577638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.04603165,0.5164834,0.06410113,0.2946525,0.026411,0.00009611734,0.0006099445,0.001325159,0.05028917],"genre_scores_gemma":[0.6354939,0.2295664,0.02356895,0.06400204,0.01031079,0.0001547915,0.0003090247,0.0005546019,0.03603957],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.005071056,"threshold_uncertainty_score":0.02045023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464047917815884,"score_gpt":0.2834175452130663,"score_spread":0.2687770660349075,"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."}}