{"id":"W2604943140","doi":"10.1158/1557-3125.dnarepair16-ia01","title":"Abstract IA01: Advancing the field of mutational signatures: Mechanisms and clinical applications","year":2017,"lang":"en","type":"article","venue":"Molecular Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Computational biology; Biology; Genome; Sanger sequencing; Genomics; DNA Damage Repair; Genetics; DNA repair; DNA; Gene; DNA sequencing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009954406,0.0009545361,0.001125872,0.003108298,0.0006059951,0.005284739,0.001533973,0.002364218,0.01695795],"category_scores_gemma":[0.008325111,0.0004936558,0.000615393,0.002761605,0.002070889,0.002895554,0.002436889,0.003532978,0.009395967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151851,"about_ca_system_score_gemma":0.003710737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313264,"about_ca_topic_score_gemma":0.001227303,"domain_scores_codex":[0.9980052,0.0007557252,0.0001269853,0.000377034,0.0005220208,0.0002129922],"domain_scores_gemma":[0.993437,0.001315242,0.0008179523,0.001052474,0.002017706,0.001359496],"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":[0.001183655,0.0002515488,0.01445576,0.002222856,0.0001056289,0.00033777,0.0003366885,0.0009790072,0.04711119,0.03317112,0.1728946,0.7269502],"study_design_scores_gemma":[0.0004489218,0.001772575,0.0459621,0.002138801,0.0002510059,0.003767177,0.0004640476,0.003638124,0.05088603,0.04331215,0.847173,0.0001860858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.087552,0.438168,0.07729573,0.2255837,0.01420121,0.001085634,0.01990008,0.00818785,0.1280259],"genre_scores_gemma":[0.5201137,0.2574662,0.1008795,0.02675804,0.01723613,0.0005687397,0.01791132,0.001196703,0.05786971],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01695795,"threshold_uncertainty_score":0.05672997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196472267274176,"score_gpt":0.4410212480163325,"score_spread":0.4090565253435907,"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."}}