{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009756248,0.0001392397,0.0001177693,0.00003086448,0.00003908653,0.00005588975,0.0001406258,0.0001050788,0.0002394587],"category_scores_gemma":[0.00001733007,0.0001459314,0.0000617449,0.00009988985,0.00002944843,0.000004281294,0.0000880935,0.0001082325,0.00001642209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519686,"about_ca_system_score_gemma":0.0003174956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743475,"about_ca_topic_score_gemma":0.002199671,"domain_scores_codex":[0.9990696,0.00001281475,0.0001878251,0.0003707655,0.00007489054,0.0002841597],"domain_scores_gemma":[0.9996826,0.00001941799,0.00003206723,0.0001670623,0.00003176763,0.00006707547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005757928,0.00006605698,0.005773511,0.0004272357,0.00005893673,0.00004937121,0.0006829474,0.01531747,0.7460449,0.0001689808,0.195981,0.03537203],"study_design_scores_gemma":[0.0002932041,0.00004699935,0.0002494266,0.0001399184,0.00002224179,0.000001379767,0.0001403074,0.002356962,0.1315203,0.00003692522,0.8649113,0.0002811191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.639793,0.3352379,0.0008445675,0.001396562,0.0035414,0.000351626,0.0002562921,0.00004512701,0.01853356],"genre_scores_gemma":[0.9454505,0.04951116,0.0002029245,0.001165928,0.001170205,0.0001260669,0.00006709676,0.00004516595,0.002260984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6689303,"threshold_uncertainty_score":0.595091,"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."}}