{"id":"W2984521104","doi":"10.1182/blood-2019-126745","title":"Prediction of High-Risk Group of Primary Refractory Diffuse Large B-Cell Lymphoma (DLBCL) Patients Using a CT-Based Radiomics Model with Machine Learning","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire en santé mentale de Montréal; Royal Victoria Hospital; McGill University Health Centre; Royal Victoria Regional Health Centre; McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Diffuse large B-cell lymphoma; Rituximab; Regimen; Vincristine; Internal medicine; Chemotherapy regimen; Univariate analysis; CHOP; Refractory (planetary science); Lymphoma; Surgery; Cyclophosphamide; Oncology; Chemotherapy; Multivariate analysis","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":[0.001182335,0.0006384243,0.0006217927,0.001972247,0.0002580126,0.001008181,0.0006615908,0.0005799808,0.001655406],"category_scores_gemma":[0.002516411,0.0001801616,0.0007671813,0.0004341386,0.0002240986,0.0003345735,0.0004587717,0.0005495929,0.0003617261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005501193,"about_ca_system_score_gemma":0.0005399143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004988954,"about_ca_topic_score_gemma":0.001900766,"domain_scores_codex":[0.9997293,0.00009683795,0.00002368413,0.00007147482,0.00003197024,0.00004664512],"domain_scores_gemma":[0.9989594,0.0005522628,0.0001781439,0.00004229521,0.0001436442,0.0001242578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001184087,0.0006954884,0.715661,0.00005159079,0.0002686085,0.0003685233,0.00007283486,0.2255924,0.0017123,0.0005752173,0.00200181,0.05181617],"study_design_scores_gemma":[0.00002165256,0.000140463,0.02496614,0.00001091572,0.00005078149,0.0001043403,0.00002787425,0.9738753,0.0002240723,0.0004109439,0.0001577275,0.000009827988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743965,0.0003260772,0.02270351,0.0004963152,0.00003881836,0.00009624796,0.0007345887,0.0001800366,0.001027874],"genre_scores_gemma":[0.9944513,0.00007892372,0.004090905,0.00004888,0.00003219404,0.0000533625,0.0008669333,0.000006108931,0.0003713203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004988954,"threshold_uncertainty_score":0.009919882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009023547200362659,"score_gpt":0.1903420482505671,"score_spread":0.1813185010502045,"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."}}