{"id":"W1964744337","doi":"10.1200/jco.2008.16.0283","title":"Population-Based Analysis of Incidence and Outcome of Transformed Non-Hodgkin's Lymphoma","year":2008,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":373,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"BC Cancer Agency; Terry Fox Foundation; Genome Canada","keywords":"Medicine; Lymphoma; Follicular lymphoma; Hodgkin lymphoma; Internal medicine; Population; Incidence (geometry); Stage (stratigraphy); Multivariate analysis; Biopsy; Cancer; Survival analysis; Oncology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001168141,0.0001024128,0.00223822,0.0003284356,0.00002459506,0.000001270345,0.00007875487,0.000221151,0.00006633888],"category_scores_gemma":[0.001322626,0.00006740551,0.0008113915,0.0003518992,0.0001926753,0.00005977182,0.00001093359,0.0001139053,8.551793e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225305,"about_ca_system_score_gemma":0.0008185685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003189406,"about_ca_topic_score_gemma":0.000141468,"domain_scores_codex":[0.9965712,0.0001411672,0.002688766,0.0001237564,0.0003589287,0.000116213],"domain_scores_gemma":[0.9948675,0.002649619,0.001746843,0.0001536813,0.00035806,0.0002243166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001423436,0.002103592,0.9577888,0.00003081703,0.001503234,0.0002924284,0.00007585186,0.00009864779,0.0000377579,0.00002521946,0.00005406484,0.03656619],"study_design_scores_gemma":[0.01005341,0.005612951,0.979196,0.00005325949,0.003642917,0.0001032767,0.00002468542,0.0006843554,0.0002651537,0.00002832168,0.000285811,0.00004983371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99758,0.0002181996,0.0001806642,0.001442219,0.0001592983,0.0001104731,0.000006836597,0.00000229476,0.0003000276],"genre_scores_gemma":[0.9956114,0.0004684161,0.003203629,0.0006035028,0.00008111035,0.000002047357,0.000005113902,0.000005825368,0.0000189856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03651636,"threshold_uncertainty_score":0.2748717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173910528603359,"score_gpt":0.4661578044092859,"score_spread":0.3487667515489501,"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."}}