{"id":"W3093627849","doi":"10.1016/j.ijrobp.2020.07.2070","title":"RTOG0617 to Externally Validate Blood Cell ERCC1/2 Genotypic Signature as a Radiosensitivity Biomarker for Both Tumor and Normal Tissue for Individualized Dose Prescription","year":2020,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"ERCC1; Medicine; ERCC2; Genotype; Genotyping; Single-nucleotide polymorphism; Oncology; Radiosensitivity; Internal medicine; Proportional hazards model; Radiation therapy; Nucleotide excision repair; DNA repair; Genetics; Gene; Biology","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":[0.0009739747,0.0003487462,0.0005097414,0.000674725,0.0002102228,0.0007550375,0.000547634,0.0007371827,0.007060495],"category_scores_gemma":[0.001824952,0.0002469172,0.0003963025,0.0005309535,0.0001978176,0.0003026726,0.000383933,0.0006117681,0.002801293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006956222,"about_ca_system_score_gemma":0.0009254268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002366802,"about_ca_topic_score_gemma":0.004130685,"domain_scores_codex":[0.9994671,0.0001046987,0.00004412503,0.0001362554,0.0001919109,0.00005591251],"domain_scores_gemma":[0.99936,0.0001156242,0.0001050053,0.0001042499,0.0002475561,0.00006755367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006940863,0.0006497922,0.2860031,0.001658364,0.0008021748,0.0009393143,0.0002850579,0.01228876,0.2916536,0.003118398,0.09322879,0.3024318],"study_design_scores_gemma":[0.001244751,0.003430154,0.2305807,0.0003350626,0.00142307,0.005768349,0.000235138,0.03806538,0.4382977,0.004107515,0.2763892,0.000123023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8568063,0.01004932,0.03711038,0.003042606,0.0009109462,0.0008432294,0.04250535,0.006596305,0.04213559],"genre_scores_gemma":[0.9065669,0.001624377,0.03790817,0.001839594,0.0001396069,0.0007312205,0.03576453,0.001512665,0.01391287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007060495,"threshold_uncertainty_score":0.02361971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590193296231867,"score_gpt":0.3065128462230129,"score_spread":0.2906109132606942,"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."}}