{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002989176,0.0000925647,0.0002674793,0.0001405975,0.00002192578,0.00001347002,0.0003748315,0.00003090144,0.0005163313],"category_scores_gemma":[0.0001075034,0.00008595989,0.0001630658,0.0002147751,0.00002430817,0.000138097,0.0001175476,0.0001597219,0.00000187291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009936359,"about_ca_system_score_gemma":0.0005519388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275713,"about_ca_topic_score_gemma":0.0003138689,"domain_scores_codex":[0.9979709,0.00003603345,0.0005341935,0.0001118475,0.00119305,0.0001540216],"domain_scores_gemma":[0.9988887,0.00005079235,0.0004449732,0.00008345926,0.0004430699,0.00008896682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003990809,0.0001328794,0.9587126,0.00001457984,0.0002817119,0.0009628168,0.0003490106,0.003412789,0.0007102931,0.0001594799,0.007946131,0.0269186],"study_design_scores_gemma":[0.003940147,0.0004392379,0.9494549,0.000360608,0.00007184811,0.001123005,0.001270282,0.000291376,0.001084205,0.0004682675,0.04144845,0.00004768252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924181,0.002129723,0.0003331264,0.00142303,0.001432013,0.00006899844,0.0001130571,0.000003718882,0.002078211],"genre_scores_gemma":[0.9972854,0.0003379411,0.0001740049,0.001432022,0.0005616581,0.000009613933,0.00000530315,0.000007733249,0.0001863463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03350232,"threshold_uncertainty_score":0.5653465,"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."}}