{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000692893,0.00007218567,0.00009556226,0.00002845128,0.0003381679,0.00006662648,0.0004015012,0.0001108783,0.00002579118],"category_scores_gemma":[0.0006891696,0.00005950299,0.00006773332,0.00003692943,0.0002461698,0.000003444482,0.0002829887,0.0002314989,0.000001924624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001324792,"about_ca_system_score_gemma":0.0002455693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003541953,"about_ca_topic_score_gemma":0.000381431,"domain_scores_codex":[0.9990774,0.0000469752,0.0001766121,0.0002642979,0.0002329053,0.0002017685],"domain_scores_gemma":[0.9988279,0.0002041373,0.00009572801,0.0005755803,0.0002222664,0.00007443331],"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":[0.0001641248,0.0000939786,0.002302959,0.00006163002,0.0001535179,0.00001479668,0.00003595774,0.0003780291,0.924105,0.01209228,0.004941091,0.05565657],"study_design_scores_gemma":[0.001330207,0.000581501,0.04558861,0.00007930463,0.00005270916,0.000006541576,0.0001917248,0.0002913991,0.8411302,0.01791324,0.09248758,0.0003469717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461737,0.008633351,0.03305365,0.007067203,0.0002492601,0.001035691,0.0001343507,0.000006693648,0.003646097],"genre_scores_gemma":[0.9965145,0.001781927,0.000821476,0.0004619172,0.0001831247,0.0001390589,0.00001627511,0.00001414434,0.00006758943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08754649,"threshold_uncertainty_score":0.2600948,"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."}}