{"id":"W1874071964","doi":"10.1111/bjh.13634","title":"Evaluation of the International Prognostic Score (IPS‐7) and a Simpler Prognostic Score (IPS‐3) for advanced Hodgkin lymphoma in the modern era","year":2015,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Princess Margaret Cancer Centre","funders":"ECOG-ACRIN Cancer Research Group; National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; American College of Radiology Imaging Network; American Cancer Society","keywords":"Medicine; Internal medicine; Univariate; International Prognostic Index; Oncology; Multivariate analysis; Univariate analysis; Framingham Risk Score; Risk stratification; Stage (stratigraphy); Proportional hazards model; Prognostic model; Prognostic variable; Multivariate statistics; Overall survival; Lymphoma; Disease; Rituximab; Machine learning","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":[0.001528997,0.0001283369,0.0004541232,0.0001057982,0.0000539618,0.00003933541,0.0002227958,0.00008426217,0.0000117781],"category_scores_gemma":[0.003133107,0.00008446722,0.0001279166,0.0001260128,0.0001381946,0.0001269523,0.00005423751,0.0001114812,8.997989e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071714,"about_ca_system_score_gemma":0.0009526302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003773652,"about_ca_topic_score_gemma":0.000243015,"domain_scores_codex":[0.9979777,0.0002519059,0.0005954482,0.0001738065,0.0007998942,0.0002011992],"domain_scores_gemma":[0.9977689,0.0004494012,0.0004586772,0.000148067,0.001091902,0.00008306241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007151871,0.001937653,0.6493475,0.0001715369,0.0004823777,0.002774261,0.00284855,0.0002195639,0.0001416234,0.0006024723,0.003362938,0.3373964],"study_design_scores_gemma":[0.02465597,0.001176432,0.812848,0.002174399,0.001219933,0.1337472,0.0008691691,0.00444752,0.0006307697,0.01776709,0.0003078967,0.0001555302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897621,0.0056914,0.00007431842,0.002638046,0.000307563,0.001348056,0.00002061745,0.000004510771,0.0001534449],"genre_scores_gemma":[0.9986342,0.00009913108,0.0006290041,0.0003349131,0.00009413786,0.0001707526,0.0000125703,0.000015038,0.00001031984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3372408,"threshold_uncertainty_score":0.3750848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07048132621520345,"score_gpt":0.323027992655493,"score_spread":0.2525466664402896,"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."}}