{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001699666,0.0006563099,0.000559098,0.000925257,0.0008149112,0.002177831,0.001402115,0.001037349,0.004553807],"category_scores_gemma":[0.0067724,0.0005252676,0.001259607,0.001308457,0.0007392126,0.0008713627,0.001377434,0.001263443,0.0001908929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03466693,"about_ca_system_score_gemma":0.02204261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6904693,"about_ca_topic_score_gemma":0.6293326,"domain_scores_codex":[0.9987146,0.00051683,0.00003480565,0.0001318406,0.0001679764,0.0004339999],"domain_scores_gemma":[0.9979316,0.001163587,0.0002243486,0.00004945742,0.0002690892,0.0003619199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006563472,0.0001880879,0.03857274,0.0001732238,0.0002398391,0.0004780285,0.00008888337,0.9249094,0.0002950657,0.01160656,0.003472033,0.01931983],"study_design_scores_gemma":[0.0002715603,0.0004982631,0.02743005,0.0002306079,0.000474454,0.0003351404,0.00071078,0.9594758,0.0003743924,0.005250087,0.004883443,0.00006544915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921675,0.002788372,0.01948237,0.008167406,0.0001141146,0.0007370329,0.01033345,0.0001370285,0.03656522],"genre_scores_gemma":[0.994255,0.0005345321,0.002481683,0.0002013144,0.000008384998,0.00006647958,0.0009534547,0.000007164624,0.001491865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6904693,"threshold_uncertainty_score":0.6227072,"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."}}