{"id":"W7093118294","doi":"10.26044/ranzcr2025/c-157","title":"Risk prediction models to identify high-risk cohorts for Lung Cancer Screening: A Systematic Review","year":2025,"lang":"en","type":"article","venue":"European Society of Radiology","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kensington Health","funders":"","keywords":"Lung cancer; Predictive modelling; Risk assessment; Cancer; MEDLINE; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270291,0.0001506262,0.0007578728,0.00005010826,0.0003789061,0.00002149404,0.000224936,0.00005328844,0.000251198],"category_scores_gemma":[0.0001369128,0.0001198666,0.0004784919,0.00008446352,0.0002024133,0.00007092704,0.00007434523,0.0001684355,0.000006252978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003504232,"about_ca_system_score_gemma":0.0000235696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643157,"about_ca_topic_score_gemma":0.0001118818,"domain_scores_codex":[0.998206,0.0005954326,0.0005886435,0.0003123162,0.00008722663,0.0002104052],"domain_scores_gemma":[0.9988339,0.0002673653,0.0003663589,0.0002815561,0.000198523,0.00005227915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003256664,0.00005888205,0.0005381757,0.04712976,0.002891891,0.000001116503,0.0101411,0.001620914,0.00003084579,0.0224373,0.9146228,0.0004946779],"study_design_scores_gemma":[0.009812417,0.002323737,0.01986403,0.2105414,0.1100898,0.00003700323,0.01364513,0.2871295,0.0001051404,0.02036761,0.3225443,0.003539956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1521383,0.1638974,0.6272444,0.01070409,0.005144883,0.01154978,0.003539866,0.0006467418,0.02513442],"genre_scores_gemma":[0.9025533,0.03580732,0.004740537,0.02705921,0.002025772,0.001080821,0.0003376855,0.000097642,0.02629775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7504149,"threshold_uncertainty_score":0.4888018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118226104319262,"score_gpt":0.2812201382586175,"score_spread":0.2500378772154249,"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."}}