{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01066024,0.0005709883,0.0008718591,0.0009313662,0.0001499536,0.0009723253,0.0004757434,0.0003798476,0.001261937],"category_scores_gemma":[0.01433345,0.0001272277,0.001054988,0.001019886,0.0004860499,0.0010413,0.000955797,0.0009754764,0.0001976871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005134575,"about_ca_system_score_gemma":0.0007541613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004877358,"about_ca_topic_score_gemma":0.0006251184,"domain_scores_codex":[0.9976332,0.001427659,0.0001554491,0.0001748474,0.0004956402,0.0001130875],"domain_scores_gemma":[0.9913532,0.005161372,0.001859201,0.0005562471,0.0004833858,0.0005866353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008060884,0.0002041986,0.9377263,0.00008739735,0.0007415616,0.0001129889,0.0001009925,0.005092208,0.0007332556,0.0005470195,0.0007162694,0.045877],"study_design_scores_gemma":[0.001081288,0.008009525,0.9403228,0.00005727589,0.0007361833,0.0005326929,0.0001526884,0.04335931,0.0008887861,0.00283274,0.001976143,0.0000506766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967375,0.0006892438,0.001478753,0.0001673643,0.00001916748,0.00005423116,0.0003728253,0.00001022252,0.0004707066],"genre_scores_gemma":[0.9967865,0.0001537275,0.001769784,0.00004643167,0.00005147219,0.00006033891,0.001004623,0.000005813773,0.0001214093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066024,"threshold_uncertainty_score":0.05637735,"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."}}