{"id":"W4403604711","doi":"10.58931/cot.2024.1221","title":"Current Uses and Pitfalls of Liquid Biopsy in NSCLC","year":2024,"lang":"en","type":"article","venue":"Canadian oncology today.","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Princess Margaret Cancer Foundation; American Society of Clinical Oncology; International Association for the Study of Lung Cancer","keywords":"Liquid biopsy; Biopsy; Current (fluid); Medicine; Radiology; Medical physics; Internal medicine; Cancer; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001096374,0.00008805425,0.0001302593,0.0001422976,0.00001948445,0.00001177225,0.0000869514,0.0001425417,0.00003149804],"category_scores_gemma":[0.00007605198,0.00009364125,0.00003319069,0.00009215556,0.0001061645,0.000001910151,0.00004103543,0.00008813168,0.000006990256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114305,"about_ca_system_score_gemma":0.001357396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009301424,"about_ca_topic_score_gemma":0.1712963,"domain_scores_codex":[0.9993467,0.00002339381,0.0001557876,0.0002305557,0.00002934514,0.000214174],"domain_scores_gemma":[0.9995979,0.00003538423,0.00002144729,0.0001391602,0.00002777292,0.0001783556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005289649,0.0003029203,0.05206301,0.0005707461,0.0003018864,0.000899676,0.001628587,0.0001715348,0.4221415,0.03046228,0.1243314,0.3665975],"study_design_scores_gemma":[0.0003357634,0.0005705769,0.007690805,0.00007735621,0.00001870575,0.00004886686,0.00006065494,0.00004460444,0.007885893,0.0002083117,0.9828786,0.0001798315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961873,0.03391086,0.00003307758,0.000901735,0.0006444664,0.0001146009,0.0001362492,0.000004020934,0.002382009],"genre_scores_gemma":[0.9958143,0.003429547,0.0001125303,0.0003176856,0.0001744864,0.00001447123,0.00004578305,0.00001363963,0.00007750961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8585472,"threshold_uncertainty_score":0.9972957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120331276767875,"score_gpt":0.2805186838250549,"score_spread":0.2693153710573761,"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."}}