{"id":"W4412629029","doi":"10.1001/jamanetworkopen.2025.23044","title":"Computed Tomographic Screening Intervals for Patients at Moderate Risk of Lung Cancer","year":2025,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Partnership Against Cancer; Statistics Canada","funders":"Partenariat Canadien Contre Le Cancer; Centre Hospitalier Universitaire Vaudois; Universität Zürich; European Commission; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Cancer Institute; National Institutes of Health; Cancer Research UK; Cancer Australia; AstraZeneca","keywords":"Medicine; Lung cancer screening; Lung cancer; Cohort; Relative risk; Quality-adjusted life year; Demography; National Lung Screening Trial; Confidence interval; Epidemiology; Cohort study; Environmental health; Cost effectiveness; Internal medicine","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":[0.004336321,0.0003992521,0.0004576696,0.0007864292,0.0001671045,0.0009095789,0.0006805378,0.0005886912,0.003784902],"category_scores_gemma":[0.02212493,0.0001516771,0.00166976,0.000745029,0.0002747689,0.0006090002,0.0006244724,0.0005870163,0.0001500512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205814,"about_ca_system_score_gemma":0.002388276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008369341,"about_ca_topic_score_gemma":0.009400792,"domain_scores_codex":[0.9968425,0.00222627,0.0001585366,0.0001869657,0.0004000342,0.0001857417],"domain_scores_gemma":[0.994991,0.003242786,0.001050494,0.0002166162,0.0002544285,0.00024457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02708807,0.003235235,0.373957,0.003305644,0.005761598,0.0004974646,0.0002972315,0.3416195,0.001345991,0.01929214,0.008231983,0.2153682],"study_design_scores_gemma":[0.01252745,0.03723537,0.3110412,0.002979648,0.01097849,0.001386269,0.0007611477,0.5750288,0.003428009,0.02178219,0.02268101,0.0001703555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552452,0.009836973,0.01002518,0.004233215,0.0002196878,0.00143202,0.004715173,0.0001140054,0.01417861],"genre_scores_gemma":[0.9958978,0.0009154344,0.001802885,0.0001252075,0.00002761402,0.0001974397,0.0006668803,0.000004073573,0.0003625245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008369341,"threshold_uncertainty_score":0.02293295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708599225706503,"score_gpt":0.3298018185656935,"score_spread":0.3127158263086285,"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."}}