{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001916463,0.0002516527,0.0006712556,0.00005098038,0.0001263633,0.00004600285,0.0001279047,0.00006058723,0.000102308],"category_scores_gemma":[0.0002002095,0.0001297949,0.0001398555,0.0002587149,0.00004056563,0.00005265444,0.00008047267,0.00006033168,0.00006610121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005779036,"about_ca_system_score_gemma":0.0001543931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006997892,"about_ca_topic_score_gemma":0.0001082368,"domain_scores_codex":[0.9981932,0.0001863751,0.0003148362,0.0004539337,0.000430843,0.0004208044],"domain_scores_gemma":[0.9989076,0.0002415804,0.0001054426,0.0004915076,0.0001436438,0.00011024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005181037,0.0650111,0.9297314,0.00004766673,0.0001571014,0.002032452,0.001045562,2.469048e-7,0.000002553598,0.0005662003,0.0006058687,0.0002817772],"study_design_scores_gemma":[0.04583592,0.002335215,0.9445997,0.00003833151,0.0003858039,0.0002071151,0.002237636,0.00003154683,0.0001811116,0.00004034736,0.003951554,0.0001557541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955359,0.0005472498,0.00000730806,0.0004036865,0.0001246424,0.002192221,0.00009816921,0.00005007723,0.001040729],"genre_scores_gemma":[0.9976129,0.00001746581,0.0001869413,0.0005266576,0.0000431493,0.001111348,0.0001182649,0.00002274173,0.0003605387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06267588,"threshold_uncertainty_score":0.5292882,"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."}}