{"id":"W2939485990","doi":"10.1158/1078-0432.ccr-19-0624","title":"Clinical Utility of Comprehensive Cell-free DNA Analysis to Identify Genomic Biomarkers in Patients with Newly Diagnosed Metastatic Non–small Cell Lung Cancer","year":2019,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":597,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Lung cancer; Medicine; Cancer; Cell-free fetal DNA; Cell; Oncology; Pathology; Bioinformatics; Internal medicine; Biology; Genetics","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":[0.001284342,0.000202561,0.0003318115,0.0005054211,0.0001999656,0.0006033541,0.0002768779,0.000468,0.0009377367],"category_scores_gemma":[0.005429994,0.0001772467,0.0001649994,0.0003241842,0.0002443707,0.0003740254,0.000287315,0.0003697161,0.0002368192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00041117,"about_ca_system_score_gemma":0.0002934713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064179,"about_ca_topic_score_gemma":0.002350919,"domain_scores_codex":[0.9991513,0.0002905585,0.000082684,0.0002480796,0.0001596511,0.00006770712],"domain_scores_gemma":[0.9972459,0.001343533,0.0005497729,0.0001619264,0.0003993602,0.0002995442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005791205,0.00004283365,0.9898854,0.00001355452,0.00002598064,0.00009351358,0.00003734525,0.0001487039,0.001557428,0.0000172567,0.0002287903,0.007370106],"study_design_scores_gemma":[0.00007254211,0.001228024,0.9874963,0.00002474102,0.00006963989,0.001351354,0.0001618544,0.004927341,0.003858054,0.00008650053,0.0007110395,0.00001266657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984132,0.0003724339,0.0003055493,0.0001014988,0.000009843349,0.0000178382,0.0001763396,0.0000123073,0.0005909388],"genre_scores_gemma":[0.9993247,0.00004248802,0.0003602521,0.00005477262,0.000008537032,0.000006339841,0.0001329059,0.000001324259,0.00006867699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001284342,"threshold_uncertainty_score":0.006792367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06481302330116015,"score_gpt":0.4362565269020118,"score_spread":0.3714435036008517,"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."}}