{"id":"W4417482148","doi":"10.1016/j.jval.2025.09.1376","title":"EPH247 The Incidence, Mortality, and Survival of Malignant Non-Small Cell Lung Cancer (NSCLC) in the United States: A Surveillance Epidemiology and End Results (SEER) 2000-2022 Database Analysis","year":2025,"lang":"en","type":"article","venue":"Value in Health","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada","funders":"","keywords":"Surveillance, Epidemiology, and End Results; Epidemiology; Lung cancer; Epidemiological surveillance; Cancer; Lung","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01428804,0.0001904546,0.0008903853,0.0006205333,0.0001315852,0.00001068725,0.0002574013,0.00006183801,0.000007499572],"category_scores_gemma":[0.001747152,0.0001116909,0.00005455629,0.002912012,0.0003490098,0.00003813638,0.0002861115,0.0005135084,1.968872e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223309,"about_ca_system_score_gemma":0.00114713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3770799,"about_ca_topic_score_gemma":0.09378526,"domain_scores_codex":[0.994817,0.002705835,0.001004672,0.0005277678,0.0003497309,0.0005949792],"domain_scores_gemma":[0.9932031,0.005569676,0.0003000118,0.0006811094,0.0001359038,0.0001101852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000325797,0.00007881077,0.9891365,0.001512979,0.0002308627,0.00002885673,0.003902024,0.00343095,0.0000139712,0.0001602864,0.001021563,0.0001574265],"study_design_scores_gemma":[0.001552221,0.0001349714,0.9579537,0.0004968931,0.0001337136,0.000002064283,0.001374726,0.03775838,0.00001160359,0.0001269966,0.0003679406,0.00008679265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603875,0.02099162,0.0001047151,0.01655921,0.00008548136,0.001169163,0.0005314336,0.000008858249,0.0001620228],"genre_scores_gemma":[0.933762,0.06417391,0.00009131041,0.001579192,0.00003967384,0.0001258897,0.0001311326,0.000009167626,0.00008775211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2832947,"threshold_uncertainty_score":0.9227508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08724169503674144,"score_gpt":0.42320669820038,"score_spread":0.3359650031636386,"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."}}