{"id":"W2808553117","doi":"10.3747/co.25.3761","title":"Circulating Tumour DNA in EGFR-Mutant Non-Small-Cell Lung Cancer","year":2018,"lang":"en","type":"review","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Peking University; Peking University People's Hospital; National Natural Science Foundation of China","keywords":"T790M; Medicine; Lung cancer; Digital polymerase chain reaction; Liquid biopsy; Mutation; Cancer research; Tumour heterogeneity; Circulating tumor DNA; Cancer; Targeted therapy; Cell-free fetal DNA; COLD-PCR; Computational biology; Bioinformatics; Oncology; Epidermal growth factor receptor; Gene; Internal medicine; Biology; Polymerase chain reaction; Point mutation; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003065414,0.0005128263,0.001251145,0.0001594402,0.00007124162,0.00003150629,0.0005014667,0.0006679593,0.0000555125],"category_scores_gemma":[0.0001162875,0.0004962665,0.0004015773,0.000209107,0.00009912797,0.000001984924,0.0004503145,0.0004737959,0.00003542398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005768579,"about_ca_system_score_gemma":0.002171339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006152005,"about_ca_topic_score_gemma":0.0005369914,"domain_scores_codex":[0.9974657,0.0001495782,0.0007982701,0.000875033,0.00010544,0.0006059429],"domain_scores_gemma":[0.9985935,0.00009213934,0.0005477422,0.0004916824,0.0001165053,0.0001584374],"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":[0.00002148625,0.0004428737,0.0006703402,0.01203735,0.0001496644,0.0000817522,0.000106843,0.00002044932,0.001096627,0.00002110634,0.01208346,0.973268],"study_design_scores_gemma":[0.0006188978,0.0001951859,0.00002341819,0.002927362,0.0003956477,0.00004216612,0.00001460564,0.00008563596,0.0002041473,0.000008974927,0.9949371,0.0005468735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008533656,0.9855226,0.0001366836,0.00001847922,0.00343732,0.0009200183,0.0001862761,0.00000949689,0.001235453],"genre_scores_gemma":[0.000760574,0.9953246,0.0001023391,0.00006680319,0.00259582,0.0004558512,0.0005149979,0.00008981553,0.00008925267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9828537,"threshold_uncertainty_score":0.9997489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07752054682140003,"score_gpt":0.4016796448141298,"score_spread":0.3241590979927298,"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."}}