{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005901878,0.0006337596,0.001240677,0.002549889,0.0002467261,0.0009448315,0.0008406165,0.001087001,0.003783988],"category_scores_gemma":[0.001015136,0.0002565988,0.0004646982,0.00170242,0.0005021689,0.001482991,0.0006855832,0.001536539,0.002582267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005457191,"about_ca_system_score_gemma":0.0009242116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029724,"about_ca_topic_score_gemma":0.001855629,"domain_scores_codex":[0.9998247,0.00003318706,0.00002864285,0.00003261837,0.00006435068,0.0000165637],"domain_scores_gemma":[0.999582,0.0002008688,0.0000631709,0.00001026443,0.0001095042,0.00003420865],"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":[0.00005951258,0.00004289982,0.0002622232,0.01346005,0.00005667779,0.0002411419,0.00004468148,0.0002056611,0.0007043965,0.002309622,0.02815921,0.9544539],"study_design_scores_gemma":[0.00001193016,0.00006307993,0.0009292102,0.004081836,0.00008324074,0.002223657,0.00005049384,0.00006414502,0.0003595635,0.001621122,0.9904958,0.00001586674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007778485,0.9988137,0.00006345825,0.0002773974,0.0001400795,0.000002624163,0.00001303206,0.000004228063,0.0006077415],"genre_scores_gemma":[0.000644917,0.9985318,0.00007903903,0.0001740248,0.0001346376,0.000003720546,0.00002540586,0.000001227791,0.000405304],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003783988,"threshold_uncertainty_score":0.01265872,"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."}}