{"id":"W3193510908","doi":"10.3324/haematol.2021.278663","title":"Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study","year":2021,"lang":"en","type":"article","venue":"Haematologica","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Spinal Cord Injury BC; University of British Columbia","funders":"Mundipharma EDO; Genentech; EUSA Pharma; Celgene; MorphoSys; H. Lundbeck A/S; Juno Therapeutics; Incyte; F. Hoffmann-La Roche; Bristol-Myers Squibb; AstraZeneca; Kite Pharma; Gilead Sciences; Servier; Amgen","keywords":"Hazard ratio; Standardized uptake value; Medicine; Positron emission tomography; Retrospective cohort study; Internal medicine; Nuclear medicine; Quartile; Proportional hazards model; Diffuse large B-cell lymphoma; Oncology; Confidence interval; Lymphoma","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":[0.0008001957,0.0002126248,0.000365041,0.0004023276,0.0002177713,0.0005017591,0.0002491686,0.0002843401,0.0004487447],"category_scores_gemma":[0.001658162,0.0001829236,0.0003572425,0.0006484796,0.000201018,0.0003649295,0.000412462,0.0003842915,0.00008537695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300241,"about_ca_system_score_gemma":0.0002753865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121884,"about_ca_topic_score_gemma":0.003316832,"domain_scores_codex":[0.9996682,0.000144844,0.00002516639,0.00006178866,0.00004284448,0.00005707867],"domain_scores_gemma":[0.9991487,0.0001856704,0.000353322,0.000109709,0.00006470866,0.0001379823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007556589,0.00001388258,0.9978896,0.000006702091,0.00006514572,0.000061497,0.00002298008,0.00007674073,0.000305702,0.00001144439,0.00005999714,0.0007306928],"study_design_scores_gemma":[0.00005058086,0.0002119678,0.9988877,0.000003849495,0.00005890824,0.0002205822,0.00004965829,0.0002030472,0.00007104382,0.00002249983,0.0002165709,0.000003573195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992562,0.0002485312,0.00006105161,0.00001523287,0.000001695364,0.00000639543,0.0002409419,0.000002698717,0.0001672026],"genre_scores_gemma":[0.9994152,0.00005052766,0.00003477902,0.00001285591,0.000004314247,0.000008583539,0.0004292255,0.000001894716,0.00004266981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002121884,"threshold_uncertainty_score":0.00423187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120003987550924,"score_gpt":0.2461010715508001,"score_spread":0.2349010316752909,"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."}}