{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00206468,0.0002723379,0.0009102175,0.0003067227,0.000061978,0.00004707679,0.0009552669,0.0002557436,0.0002792],"category_scores_gemma":[0.0004414186,0.0002476141,0.0004264364,0.0010481,0.0003599574,0.000007767684,0.0008939533,0.0005577331,0.0000218602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214384,"about_ca_system_score_gemma":0.001124168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965237,"about_ca_topic_score_gemma":0.007022989,"domain_scores_codex":[0.9955755,0.0006589374,0.001299521,0.001190786,0.0005738269,0.0007014218],"domain_scores_gemma":[0.9957336,0.001128149,0.0003160641,0.001468298,0.0009143928,0.0004394838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002437199,0.0008071691,0.9825832,0.0001746338,0.00103319,0.000007814171,0.00005097274,0.001218924,0.004089257,0.000001104051,0.005362188,0.002234397],"study_design_scores_gemma":[0.007293513,0.00113751,0.9851413,0.00005666979,0.0004007391,5.166934e-8,0.0001329243,0.0006724042,0.002783321,0.00001159281,0.002062629,0.0003073954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949791,0.001810369,0.000178712,0.0001458743,0.0004051194,0.001627651,0.0005942362,0.000004601116,0.0002542853],"genre_scores_gemma":[0.9958008,0.002377161,0.0007666412,0.0003846762,0.0001582571,0.0001840271,0.0001414048,0.00004759563,0.0001394671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004856314,"threshold_uncertainty_score":0.9999976,"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."}}