{"id":"W2807519281","doi":"10.1016/j.jtho.2018.05.030","title":"Liquid Biopsy for Advanced Non-Small Cell Lung Cancer (NSCLC): A Statement Paper from the IASLC","year":2018,"lang":"en","type":"review","venue":"Journal of Thoracic Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":662,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Roche","keywords":"Medicine; Liquid biopsy; Anaplastic lymphoma kinase; Lung cancer; Circulating tumor cell; Oncology; Molecular pathology; Biopsy; Molecular diagnostics; Internal medicine; Pathology; Intensive care medicine; Cancer; Medical physics; Bioinformatics","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":[0.001674729,0.0004998701,0.001001577,0.00157391,0.0003628397,0.001098833,0.0008443664,0.00191034,0.00235702],"category_scores_gemma":[0.002682154,0.0002243485,0.000597609,0.001099217,0.0005307913,0.001554479,0.001083496,0.003054033,0.00171575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007338556,"about_ca_system_score_gemma":0.002201808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515284,"about_ca_topic_score_gemma":0.003130696,"domain_scores_codex":[0.9995472,0.00007278568,0.00007359451,0.00006305928,0.0001951658,0.00004813355],"domain_scores_gemma":[0.9986764,0.0005765998,0.0001417122,0.00002992639,0.0004541925,0.0001212209],"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":[0.00008905002,0.00003191317,0.0003054236,0.006340201,0.00005183424,0.0002267453,0.00002617893,0.0001103247,0.0006487491,0.001729294,0.1950369,0.7954034],"study_design_scores_gemma":[0.00002484397,0.00004916331,0.0006459142,0.003411421,0.0000812789,0.0008923439,0.00002221436,0.00004271508,0.0002703864,0.0007916797,0.9937535,0.00001460516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001030573,0.988176,0.0002143635,0.006274104,0.00389578,0.00001408198,0.00007286797,0.00001225736,0.001237486],"genre_scores_gemma":[0.001158053,0.9873465,0.0005457836,0.006130906,0.003121557,0.00002060016,0.0001757223,0.000005403392,0.001495499],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00235702,"threshold_uncertainty_score":0.008856893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515770169668327,"score_gpt":0.4100484760315295,"score_spread":0.3848907743348462,"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."}}