{"id":"W4409994539","doi":"10.1001/jamaoncol.2025.0908","title":"Modeling Population-Level Impacts of Cell-Free DNA Screening for Colorectal Cancer in Canada","year":2025,"lang":"en","type":"article","venue":"JAMA Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Providence Health Care; BC Cancer Agency; Alberta Health Services; University of Calgary","funders":"","keywords":"Medicine; Colorectal cancer; Colonoscopy; Population; Cell-free fetal DNA; Cancer; Colorectal cancer screening; Internal medicine; Oncology; Demography; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001298722,0.001018667,0.0008692133,0.001175478,0.001165721,0.001545681,0.002617038,0.001589354,0.005008577],"category_scores_gemma":[0.005914841,0.0007191981,0.001667329,0.001800224,0.001012799,0.0004996391,0.001024674,0.001321283,0.0002648399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04124859,"about_ca_system_score_gemma":0.03588065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833294,"about_ca_topic_score_gemma":0.9614094,"domain_scores_codex":[0.9992207,0.0001890624,0.0000233433,0.0001401421,0.00009790934,0.0003288285],"domain_scores_gemma":[0.9972016,0.001136275,0.0002914821,0.00007173782,0.0009029809,0.000396029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001378655,0.00006314425,0.03185096,0.00004079859,0.000134694,0.0001199389,0.00005767768,0.9616787,0.0001017989,0.002136968,0.001662933,0.002014517],"study_design_scores_gemma":[0.0001851608,0.00009247419,0.01606992,0.00003692259,0.0001920801,0.00004476129,0.0002603763,0.9797917,0.0001092886,0.001322054,0.00185449,0.00004069642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595287,0.001012838,0.007441418,0.002766683,0.00008382609,0.0002954029,0.01477588,0.0001712412,0.01392394],"genre_scores_gemma":[0.9889864,0.0004640586,0.003078797,0.000228533,0.0000116851,0.0001057254,0.002567516,0.00002353254,0.004533809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04124859,"threshold_uncertainty_score":0.2992809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628917385512593,"score_gpt":0.2875883100314656,"score_spread":0.2712991361763397,"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."}}