{"id":"W4409329675","doi":"10.1001/jamaoncol.2025.0473","title":"National Cancer System Characteristics and Global Pan-Cancer Outcomes","year":2025,"lang":"en","type":"article","venue":"JAMA Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Medicine; Demography; Population; Per capita; Human Development Index; Gross domestic product; Cancer; Gross national income; Gerontology; Environmental health; Human development (humanity); Economic growth; Internal medicine","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":[0.001984843,0.0002504273,0.0004011361,0.002256392,0.0005939866,0.0008701087,0.0004467178,0.0003039374,0.007401276],"category_scores_gemma":[0.008364356,0.0001165685,0.000664815,0.006211883,0.0003794338,0.0008840073,0.001103927,0.0007189504,0.0005340167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264265,"about_ca_system_score_gemma":0.001663949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02154006,"about_ca_topic_score_gemma":0.02886595,"domain_scores_codex":[0.9990294,0.0002626933,0.0001326119,0.0001805695,0.0002186897,0.0001760624],"domain_scores_gemma":[0.9933267,0.001103643,0.003515312,0.0003654737,0.0008881142,0.0008007563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002958531,0.000009324243,0.9969109,0.000040834,0.00006956067,0.00001062081,0.00003791945,0.0002681989,0.00001316732,0.0001070134,0.001223495,0.001279455],"study_design_scores_gemma":[0.000005183591,0.00004438412,0.9962734,0.00003089535,0.00005668949,0.00009406645,0.0001953706,0.0005803047,0.00003633789,0.00019508,0.002479894,0.000008364484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049987,0.002649429,0.001836517,0.002678872,0.00009727622,0.0002320737,0.07300489,0.0001963382,0.01430585],"genre_scores_gemma":[0.9884494,0.0002183217,0.0004258565,0.0001149673,0.00003045969,0.0001220979,0.01018094,0.00002286241,0.0004350332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02154006,"threshold_uncertainty_score":0.04282939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895249680210092,"score_gpt":0.3086793287352443,"score_spread":0.2797268319331433,"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."}}