{"id":"W4292533762","doi":"10.1016/j.clml.2022.08.008","title":"An Epidemiological Model to Estimate the Prevalence of Diffuse Large B-Cell Lymphoma in the United States","year":2022,"lang":"en","type":"article","venue":"Clinical Lymphoma Myeloma & Leukemia","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Broadcom (Canada); Vancouver Coastal Health","funders":"","keywords":"Epidemiology; Medicine; Diffuse large B-cell lymphoma; Incidence (geometry); Disease; Population; Lymphoma; Relative survival; Mortality rate; Internal medicine; Environmental health; Cancer registry","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":[0.00454161,0.0009856828,0.001037607,0.001884575,0.0004998677,0.001904381,0.001871472,0.002164613,0.005086539],"category_scores_gemma":[0.0131934,0.0006962469,0.001351411,0.001521224,0.0007041217,0.001361006,0.001168478,0.002109967,0.0007112195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002577337,"about_ca_system_score_gemma":0.001935036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05742735,"about_ca_topic_score_gemma":0.02505702,"domain_scores_codex":[0.9984441,0.0009317182,0.00006920478,0.0002990946,0.0001013191,0.0001546364],"domain_scores_gemma":[0.9937555,0.004760968,0.0006289753,0.0001549154,0.0005286279,0.0001711399],"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":[0.0002550199,0.0001762836,0.06112168,0.000103833,0.0002672242,0.0004018879,0.0002367323,0.8975927,0.00022089,0.02545469,0.004366766,0.009802229],"study_design_scores_gemma":[0.00008107214,0.00006166838,0.003892157,0.00004409977,0.00008243897,0.0001371804,0.000103483,0.9873865,0.000034213,0.006457594,0.001700866,0.00001868698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6467984,0.00283595,0.2848414,0.01319574,0.0005181593,0.0009387692,0.02559697,0.0006455334,0.02462923],"genre_scores_gemma":[0.9526226,0.001314317,0.02888175,0.0007798682,0.0001584722,0.000809497,0.005935411,0.0000414628,0.009456725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05742735,"threshold_uncertainty_score":0.1141862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05327180857641299,"score_gpt":0.3865145714777316,"score_spread":0.3332427629013186,"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."}}