{"id":"W4288013778","doi":"10.1177/17588359221112696","title":"The economic value of liquid biopsy for genomic profiling in advanced non-small cell lung cancer","year":2022,"lang":"en","type":"article","venue":"Therapeutic Advances in Medical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara Health System; University of Toronto; Princess Margaret Cancer Centre; Ottawa Hospital; University of British Columbia; University of Ottawa; Jewish General Hospital; McMaster University; Juravinski Cancer Centre; McGill University; University of Calgary","funders":"Jewish General Hospital; BC Cancer Foundation; Princess Margaret Cancer Foundation; Guardant Health; Ottawa Hospital Research Institute","keywords":"Liquid biopsy; Medicine; Lung cancer; Biopsy; Circulating tumor DNA; Cell-free fetal DNA; Lung; Oncology; Pathology; Cancer research; Internal medicine; Cancer; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0007916131,0.0001469227,0.0003054593,0.00005625005,0.0001073207,0.00000386845,0.000511774,0.0001321359,0.00004271985],"category_scores_gemma":[0.0000649463,0.000130291,0.00008232197,0.00008190808,0.0001817404,0.000003812251,0.0002437379,0.0002488163,5.256986e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004458618,"about_ca_system_score_gemma":0.001427257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006758887,"about_ca_topic_score_gemma":0.0007807499,"domain_scores_codex":[0.9985287,0.0001223143,0.0005012975,0.0003526632,0.0001095541,0.000385523],"domain_scores_gemma":[0.9990189,0.0004182549,0.0002184768,0.0002519594,0.00002460162,0.0000678227],"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":[0.01008026,0.0007299522,0.02420177,0.000329819,0.0001677522,0.00003860425,0.0009499539,0.2807542,0.3426321,0.007381156,0.0001766685,0.3325578],"study_design_scores_gemma":[0.01354164,0.006449115,0.001902543,0.00007337444,0.00009829859,0.00004498959,0.002433548,0.04770485,0.0970732,0.003564041,0.8262337,0.0008806407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507952,0.04400309,0.002196487,0.0006333831,0.001090715,0.0007644317,0.00006236918,0.00000382822,0.0004505086],"genre_scores_gemma":[0.9725225,0.02327438,0.001668572,0.0009652465,0.0002450116,0.001193226,0.00003802672,0.00003342477,0.00005958849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8260571,"threshold_uncertainty_score":0.5313115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008545333577232495,"score_gpt":0.3190650196068914,"score_spread":0.310519686029659,"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."}}