{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005159981,0.0008273398,0.0007052506,0.0009610224,0.0004312794,0.001642179,0.00100333,0.0007294008,0.00238319],"category_scores_gemma":[0.01677204,0.0003903085,0.001663075,0.001165691,0.000843811,0.0008573687,0.000839882,0.001102128,0.0000944619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02621689,"about_ca_system_score_gemma":0.01553991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3311591,"about_ca_topic_score_gemma":0.2756794,"domain_scores_codex":[0.9968281,0.002080468,0.0000875456,0.0001620601,0.000462542,0.0003792748],"domain_scores_gemma":[0.9900231,0.008152717,0.0007682939,0.0001314841,0.0004871302,0.0004372973],"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":[0.009482658,0.0003635363,0.05231441,0.001175515,0.001428611,0.0002813934,0.0000916536,0.855098,0.0009858119,0.006352,0.00269998,0.06972642],"study_design_scores_gemma":[0.001862099,0.003582963,0.06469914,0.0009282799,0.002808821,0.0004843433,0.0003263352,0.9090299,0.001366446,0.009211031,0.005552039,0.0001485146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498012,0.01113665,0.0144242,0.005049886,0.00009778681,0.001205072,0.004948329,0.00008948384,0.0132474],"genre_scores_gemma":[0.9962348,0.0008628556,0.001998217,0.0001438497,0.00001034781,0.0000588763,0.000436085,0.000004357391,0.0002506225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3311591,"threshold_uncertainty_score":0.6584631,"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."}}