{"id":"W7117703654","doi":"10.3390/curroncol33010018","title":"Lessons from a National Liquid Biopsy Program to Provide Cancer Testing and Treatment for Patients with Advanced Solid Tumors","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Canadian Association of Nurses in Oncology; London Health Sciences Centre; Southlake Regional Health Center; AV&R (Canada)","funders":"Digital Technology Supercluster; BC Cancer Agency; AstraZeneca Canada","keywords":"Liquid biopsy; Biopsy; Cancer; Circulating tumor DNA; Clinical trial; Cohort; Colorectal cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01355991,0.0006802963,0.0003824942,0.0007712848,0.004630268,0.005037282,0.003587478,0.003928171,0.0087242],"category_scores_gemma":[0.02482676,0.0003914679,0.0009087113,0.001237977,0.002997559,0.003021796,0.003855354,0.008397688,0.001828511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0322795,"about_ca_system_score_gemma":0.1415049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6827401,"about_ca_topic_score_gemma":0.7610001,"domain_scores_codex":[0.9903423,0.002710889,0.0003203663,0.0009279314,0.004014125,0.001684446],"domain_scores_gemma":[0.9654362,0.005244774,0.0008179757,0.00134067,0.01056908,0.01659146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007272164,0.0007249383,0.04679474,0.0005677709,0.0001400719,0.002041557,0.001843647,0.005202254,0.002272516,0.04043319,0.5800495,0.3192026],"study_design_scores_gemma":[0.0006118395,0.001434939,0.0659619,0.00241965,0.0002493923,0.002599833,0.00701241,0.008320838,0.003121982,0.03306872,0.8748368,0.000361828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01894395,0.003733836,0.005514332,0.9448718,0.002119719,0.000166456,0.0007527604,0.0003315706,0.02356548],"genre_scores_gemma":[0.4456981,0.011769,0.07662995,0.4371038,0.00307559,0.0005466519,0.001993903,0.0005641977,0.02261884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6827401,"threshold_uncertainty_score":0.6382566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04930538431100893,"score_gpt":0.4066836675782521,"score_spread":0.3573782832672432,"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."}}