{"id":"W4389686911","doi":"10.1101/2023.12.12.571283","title":"Single-nucleotide-resolution genomic maps of <i>O</i> <sup>6</sup> -methylguanine from the glioblastoma drug temozolomide","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Functional Genomics Center Zurich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Temozolomide; DNA repair; Genome instability; Biology; Context (archaeology); O-6-methylguanine-DNA methyltransferase; Nucleotide excision repair; Chromatin; Chromatin immunoprecipitation; genomic DNA; DNA; DNA damage; Genetics; Molecular biology; Gene; Cancer research; Methyltransferase; Computational biology; Glioblastoma; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00005087639,0.0001875886,0.0002192097,0.0004115522,0.000181484,0.0002254898,0.0001819371,0.0002518563,0.001272051],"category_scores_gemma":[0.0001834546,0.0001981381,0.0003233918,0.000409676,0.00009363985,0.0001163845,0.000224891,0.0003657908,0.0004950791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001803907,"about_ca_system_score_gemma":0.0001523347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869916,"about_ca_topic_score_gemma":0.003993566,"domain_scores_codex":[0.9999588,0.000002527971,0.00000257155,0.0000143103,0.00001461646,0.00000712308],"domain_scores_gemma":[0.9998599,0.00002598857,0.00004554955,0.0000174632,0.00003159343,0.00001950213],"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":[0.00008538424,0.000009840182,0.001224245,0.00008895465,0.0000166735,0.00005770647,0.00002340827,0.0004436929,0.9947279,0.00008734641,0.0001487288,0.003086006],"study_design_scores_gemma":[0.00002214399,0.0002046771,0.2078741,0.0000288708,0.0001296142,0.0005878289,0.0001688294,0.01102632,0.7663047,0.0005047602,0.01312068,0.00002751064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574851,0.002406002,0.02445706,0.0001549076,0.00005584416,0.00004011498,0.0112656,0.0006839309,0.003451521],"genre_scores_gemma":[0.9439656,0.00102305,0.03049524,0.0001504712,0.00001981516,0.00005966179,0.0218432,0.0001981778,0.002244733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001869916,"threshold_uncertainty_score":0.004255414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108061668205065,"score_gpt":0.2047601629387117,"score_spread":0.1936795462566611,"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."}}