{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005764206,0.0002115977,0.001584121,0.0001659101,0.0001747575,0.00001071639,0.00006127832,0.000204426,0.0005454443],"category_scores_gemma":[0.0008065284,0.0001427617,0.0002138519,0.001100737,0.000635697,0.00004274952,0.00009487002,0.0002731988,5.067791e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003515663,"about_ca_system_score_gemma":0.0004730964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007175532,"about_ca_topic_score_gemma":0.0005362075,"domain_scores_codex":[0.9979342,0.0001699737,0.0007921796,0.0004537932,0.000264257,0.0003855907],"domain_scores_gemma":[0.9977779,0.0007090297,0.0004696834,0.0004186062,0.0004457314,0.0001790149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001498722,0.00004910466,0.9938771,0.0001636142,0.00288168,0.00008949644,0.000241485,0.00004723591,0.00005934212,0.00006498843,0.0008392024,0.00153692],"study_design_scores_gemma":[0.00056845,0.0001018783,0.9888354,0.0001655766,0.003697956,0.00002356288,0.0002328737,0.0004077866,0.0001901833,0.0002053854,0.005461177,0.0001097914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898552,0.006909224,0.001070687,0.0006938267,0.0001271136,0.0002555857,0.0006826705,0.00003188769,0.0003737597],"genre_scores_gemma":[0.9942409,0.00371297,0.00008873057,0.0001674409,0.00004410859,0.0001410167,0.0001283607,0.000007093045,0.00146939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006639325,"threshold_uncertainty_score":0.9994358,"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."}}