{"id":"W4407666854","doi":"10.1002/cnr2.70154","title":"Distribution, Risk Factors and Epidemiological Trends of Pancreatic Cancer Across Countries’ Income Levels: A Comprehensive Analysis","year":2025,"lang":"en","type":"article","venue":"Cancer Reports","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Chinese University of Hong Kong","keywords":"Gross domestic product; Pancreatic cancer; Medicine; Per capita; Demography; Incidence (geometry); Gross national income; Epidemiology; Per capita income; Disease burden; Environmental health; Cancer; Population; Internal medicine; Economics; Economic growth","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":[0.0008232382,0.0001984637,0.0004211694,0.002794416,0.0003105075,0.0006636916,0.0002401011,0.0002289217,0.001155193],"category_scores_gemma":[0.001316903,0.0002224815,0.00114397,0.004464739,0.0002162131,0.0006049967,0.0008055131,0.0003923861,0.0002223926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003547998,"about_ca_system_score_gemma":0.0004967267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096289,"about_ca_topic_score_gemma":0.01089934,"domain_scores_codex":[0.9995437,0.0001012237,0.00008688384,0.0001116538,0.00008263337,0.00007389526],"domain_scores_gemma":[0.999029,0.0001896301,0.0004562884,0.00008221174,0.0001488933,0.00009399661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003885272,0.00001233551,0.9935424,0.0000796071,0.0002442416,0.0000628236,0.0001484462,0.0001625951,0.00006467797,0.00004452601,0.0003346579,0.00526478],"study_design_scores_gemma":[8.159332e-7,0.00002640259,0.998822,0.00003369492,0.0000695473,0.0001377524,0.0002468548,0.0001485492,0.00001416314,0.00002682367,0.0004702771,0.000003083617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871836,0.004955952,0.0004040477,0.0001922377,0.000006372467,0.00002158856,0.006338082,0.00001611868,0.0008821931],"genre_scores_gemma":[0.991969,0.002429764,0.0004949272,0.00003154574,0.00001226228,0.00003185267,0.004861199,0.000005263724,0.0001641626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01096289,"threshold_uncertainty_score":0.02179813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864124498568602,"score_gpt":0.4297574460130644,"score_spread":0.3711162010273784,"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."}}