{"id":"W4388127967","doi":"10.1002/cncr.34925","title":"Assessing the impact of increasing lung screening eligibility by relaxing the maximum years‐since‐quit threshold: A simulation modeling study","year":2023,"lang":"en","type":"article","venue":"Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Horizon 2020 Framework Programme; Universität Zürich; National Cancer Institute; National Institutes of Health; Cancer Australia; Cancer Research UK; ZonMw; Australian Government","keywords":"Medicine; Overdiagnosis; Life expectancy; Lung cancer screening; Lung cancer; Cancer screening; Cancer; Environmental health; Internal medicine; Population","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":[0.005308319,0.001978619,0.001851532,0.001477828,0.00100455,0.001729979,0.003036205,0.004038233,0.00519738],"category_scores_gemma":[0.01583955,0.001008231,0.00415821,0.00142759,0.000941616,0.001288309,0.001470257,0.003285615,0.000266177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003784264,"about_ca_system_score_gemma":0.004146435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09305959,"about_ca_topic_score_gemma":0.04603885,"domain_scores_codex":[0.9983124,0.001062493,0.00006067891,0.0001492243,0.00009510566,0.0003201962],"domain_scores_gemma":[0.9550402,0.04016316,0.001724893,0.0006504641,0.001504874,0.0009163345],"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":[0.0005990129,0.0009241237,0.009898038,0.0001119608,0.0003351934,0.0001254206,0.00006368079,0.9838734,0.0001760847,0.001476355,0.0007622352,0.001654501],"study_design_scores_gemma":[0.0004362807,0.0004734206,0.002306515,0.00003682503,0.0002353782,0.00003024157,0.0001163016,0.9948813,0.000154176,0.0009402252,0.0003600993,0.00002927013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785609,0.0005836901,0.01027338,0.001312902,0.00008759515,0.0003375843,0.001707273,0.0001152677,0.007021325],"genre_scores_gemma":[0.9875883,0.000416326,0.007874765,0.0003645975,0.00003989795,0.0004529488,0.001112991,0.00003126988,0.002118858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09305959,"threshold_uncertainty_score":0.1850359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07037225106497823,"score_gpt":0.454796333951977,"score_spread":0.3844240828869988,"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."}}