{"id":"W4200537358","doi":"10.3390/curroncol28060441","title":"Health and Budget Impact of Liquid-Biopsy-Based Comprehensive Genomic Profile (CGP) Testing in Tissue-Limited Advanced Non-Small Cell Lung Cancer (aNSCLC) Patients","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Princess Margaret Cancer Centre; University of Ottawa; Roche (Canada)","funders":"","keywords":"Medicine; Biopsy; Population; Lung cancer; Health care; Liquid biopsy; Biomarker; Oncology; Cancer; Pathology; Internal medicine; Intensive care medicine; Environmental health; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006706023,0.0002091027,0.0004140613,0.00007310419,0.0000492981,0.000009326926,0.0001154172,0.0001347083,0.00001658081],"category_scores_gemma":[0.0001172766,0.0002202557,0.000069774,0.0001700487,0.00007158505,0.000003070129,0.0001576369,0.0001529124,0.000001290002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002728049,"about_ca_system_score_gemma":0.001975505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002659524,"about_ca_topic_score_gemma":0.000285007,"domain_scores_codex":[0.9986106,0.00009273485,0.000404859,0.0004539714,0.00006586135,0.0003719684],"domain_scores_gemma":[0.998839,0.0001017997,0.0002946958,0.0002448719,0.0003473744,0.0001722638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005290917,0.000850227,0.4470237,0.0005630914,0.00004182076,0.000009779781,0.0002945706,0.00319021,0.5142128,0.000002036933,0.001248061,0.03203465],"study_design_scores_gemma":[0.0182493,0.01319709,0.6706252,0.0006528556,0.0001257211,0.00002115753,0.0003555647,0.006873551,0.2482502,0.00001760423,0.04037765,0.001254117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819978,0.01628232,0.000181506,0.00007829685,0.0004481541,0.0005203601,0.0003880158,0.000005542876,0.00009795473],"genre_scores_gemma":[0.9944537,0.001983124,0.002330627,0.0001952711,0.0001115086,0.00008359255,0.000797102,0.00003061838,0.00001445884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2659625,"threshold_uncertainty_score":0.8981768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03039157615739843,"score_gpt":0.3559401860203717,"score_spread":0.3255486098629732,"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."}}