{"id":"W7117372854","doi":"10.1080/10408363.2025.2606357","title":"Comparison of liquid biopsy-based technologies for cancer screening","year":2025,"lang":"en","type":"article","venue":"Critical Reviews in Clinical Laboratory Sciences","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Cancer; Cancer screening; Circulating tumor DNA; Asymptomatic; Biomarker; DNA; Liquid biopsy; Digital polymerase chain reaction; Screening techniques","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005764276,0.0008895505,0.0009699188,0.003873094,0.00050528,0.002966423,0.001336794,0.00163681,0.004211443],"category_scores_gemma":[0.01258472,0.0003676116,0.0009395996,0.002804,0.0006713124,0.00206523,0.001189975,0.001053307,0.001807641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461474,"about_ca_system_score_gemma":0.0009283866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002387138,"about_ca_topic_score_gemma":0.001998189,"domain_scores_codex":[0.9891254,0.003248555,0.0005290597,0.001312317,0.005332006,0.0004527038],"domain_scores_gemma":[0.9914522,0.004121456,0.0008479069,0.0004633951,0.002851228,0.0002638142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.013369,0.001062559,0.06994043,0.006840355,0.001109409,0.0007475126,0.0009127286,0.003957658,0.1066035,0.009754889,0.01186561,0.7738365],"study_design_scores_gemma":[0.0009187994,0.03170657,0.1789094,0.003850891,0.004385015,0.01101215,0.00479945,0.04956939,0.3987089,0.009611702,0.3056059,0.0009218161],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4733345,0.2931897,0.1503163,0.00591808,0.004898689,0.003099538,0.009424504,0.001755445,0.05806332],"genre_scores_gemma":[0.7715586,0.07611088,0.1246329,0.003129721,0.001055228,0.001744437,0.007806341,0.0003426859,0.01361913],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005764276,"threshold_uncertainty_score":0.0304848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1237098235111555,"score_gpt":0.5117785717061802,"score_spread":0.3880687481950248,"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."}}