{"id":"W4282574518","doi":"10.1002/ijc.34163","title":"Global patterns of <scp>non‐Hodgkin</scp> lymphoma in 2020","year":2022,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"World Health Organization","keywords":"Demography; Incidence (geometry); Hodgkin lymphoma; Quarter (Canadian coin); International agency; Mortality rate; Disease; Geography; Medicine; Lymphoma; Cancer; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006678193,0.0002133922,0.0001551233,0.001723531,0.0001706016,0.000709713,0.0002362184,0.000243357,0.002021356],"category_scores_gemma":[0.001532003,0.000110308,0.0004169402,0.002215008,0.0001709319,0.0006405211,0.0006453856,0.0002522442,0.0004853596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005047515,"about_ca_system_score_gemma":0.0003940219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124646,"about_ca_topic_score_gemma":0.01334167,"domain_scores_codex":[0.9997882,0.00004365776,0.00003598959,0.00003719787,0.00003715129,0.00005770789],"domain_scores_gemma":[0.9992489,0.00006721331,0.0003377054,0.00003307798,0.0001850335,0.0001280877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008672955,0.0000137477,0.9883427,0.00007187493,0.00007233254,0.00009312179,0.000209377,0.0003281521,0.0003836659,0.0002273137,0.00120469,0.008966357],"study_design_scores_gemma":[0.000002602399,0.00003791518,0.9962559,0.00002707359,0.00002286378,0.0002630217,0.0002515008,0.0002214005,0.0001043953,0.00007691848,0.002732485,0.000003957172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767529,0.002485263,0.0004866353,0.000530105,0.00002836855,0.00003223367,0.0142077,0.0000630497,0.005413676],"genre_scores_gemma":[0.9870445,0.001038952,0.0004311389,0.0001493095,0.00001687476,0.00002813049,0.01048709,0.0000141962,0.0007899382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01124646,"threshold_uncertainty_score":0.02236199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940649944419015,"score_gpt":0.3607479299137464,"score_spread":0.3313414304695562,"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."}}