{"id":"W4409508597","doi":"10.3390/cancers17081340","title":"Identification of Driver Mutations and Risk Stratification in Lung Adenocarcinoma via Liquid Biopsy","year":2025,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Health Sciences Centre; Saint John Regional Hospital; Dalhousie University","funders":"Nova Scotia Health Authority; EMD Serono; Dalhousie University; Terry Fox Research Institute; AstraZeneca Canada; AstraZeneca","keywords":"Concordance; KRAS; Stage (stratigraphy); Liquid biopsy; Biopsy; Adenocarcinoma; Medicine; Lung cancer; Oncology; Internal medicine; Cancer; Pathology; Biology; Colorectal cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001378967,0.0002597579,0.0003734742,0.001916197,0.0002733506,0.0007455525,0.0003375513,0.0004592254,0.001067385],"category_scores_gemma":[0.003114591,0.0001582869,0.0001997499,0.000714933,0.0003691847,0.000442524,0.0004197185,0.000382939,0.00036675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004070235,"about_ca_system_score_gemma":0.0003031678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521901,"about_ca_topic_score_gemma":0.002064146,"domain_scores_codex":[0.9992242,0.0002126804,0.00006609345,0.0001466792,0.0002702455,0.00008001152],"domain_scores_gemma":[0.9984927,0.0005879485,0.0004452323,0.0001023873,0.0002463847,0.0001252875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009384506,0.00004264053,0.9603789,0.00003339949,0.00005997684,0.0002601553,0.00006084028,0.0003426446,0.02062696,0.00006723053,0.0001284471,0.01706036],"study_design_scores_gemma":[0.00003854446,0.0007903233,0.9523284,0.00005263722,0.0001369083,0.004333715,0.0002964962,0.01407295,0.02610439,0.0006281133,0.001194105,0.00002329023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955549,0.001048309,0.002341662,0.000059124,0.000008415206,0.00003183823,0.0001854808,0.00004505447,0.0007251969],"genre_scores_gemma":[0.9981104,0.0001382912,0.001441721,0.00002184043,0.00000555386,0.00001020934,0.0001713538,0.000005716225,0.00009485437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001916197,"threshold_uncertainty_score":0.007292747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004974721758068959,"score_gpt":0.2494374252287556,"score_spread":0.2444627034706866,"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."}}