{"id":"W2894377911","doi":"10.1200/jgo.18.27500","title":"Lung Cancer–Related Clinical and Economic Impacts of Achieving a 5% Smoking Prevalence Rate by 2035 in Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Global Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Statistics Canada; Canadian Partnership Against Cancer","funders":"","keywords":"Medicine; Lung cancer; Tobacco control; Demography; Cancer; Smoking cessation; Cancer registry; Quality-adjusted life year; Environmental health; Mortality rate; Population; Cost effectiveness; Public health; Oncology; Internal medicine","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":[0.001875025,0.0005761291,0.0005303821,0.0008916555,0.001515666,0.002052168,0.00135346,0.0006604125,0.004216661],"category_scores_gemma":[0.004760099,0.0002836055,0.001686902,0.001697137,0.0005542255,0.0006786211,0.00162317,0.00118997,0.0003550112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08176123,"about_ca_system_score_gemma":0.108188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900588,"about_ca_topic_score_gemma":0.9904322,"domain_scores_codex":[0.9982253,0.0003306287,0.00004940658,0.0001223713,0.0005420508,0.0007302916],"domain_scores_gemma":[0.9978938,0.0002145763,0.000147163,0.00004799804,0.001168669,0.0005279569],"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":[0.001592422,0.0003878361,0.2962182,0.001252616,0.001500512,0.0005480691,0.0004526092,0.5438731,0.001229285,0.02822549,0.05698627,0.06773358],"study_design_scores_gemma":[0.0007094286,0.0008984137,0.3322452,0.0013372,0.002224494,0.0003889059,0.002863235,0.5798574,0.002345317,0.01315239,0.06364067,0.0003372968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8253781,0.01108189,0.009090724,0.02220215,0.0002801693,0.0006832506,0.06565227,0.0004819304,0.0651496],"genre_scores_gemma":[0.9818409,0.002277888,0.004178143,0.000767482,0.00001742895,0.00009674819,0.007924516,0.00004071913,0.002856198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08176123,"threshold_uncertainty_score":0.593222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700305813893619,"score_gpt":0.4125549807336409,"score_spread":0.3755519225947048,"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."}}