{"id":"W3096799668","doi":"10.1182/blood-2020-142871","title":"The Copy Number Landscape of Relapsed and Refractory Diffuse Large B-Cell Lymphoma","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Princess Margaret Cancer Centre; Canada's Michael Smith Genome Sciences Centre; Spinal Cord Injury BC; Queen's University; Jewish General Hospital","funders":"","keywords":"Diffuse large B-cell lymphoma; Exome sequencing; Exome; Copy-number variation; Medicine; Oncology; Lymphoma; Internal medicine; Cohort; CHOP; Copy number analysis; Biology; Mutation; Genetics; Genome; Gene","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":[0.0001857326,0.0001768166,0.0001820513,0.00125935,0.0001746279,0.0005460295,0.0001816852,0.000243483,0.002131324],"category_scores_gemma":[0.0007648261,0.0001003366,0.000155678,0.0007460102,0.0002925913,0.0002349422,0.000332351,0.0001385825,0.0003073127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165346,"about_ca_system_score_gemma":0.00007315962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007852771,"about_ca_topic_score_gemma":0.001040181,"domain_scores_codex":[0.9997373,0.000032902,0.00002345661,0.0001186896,0.00005157506,0.00003594049],"domain_scores_gemma":[0.9997939,0.00006590686,0.00007467058,0.00002106162,0.00002452721,0.00001978734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007709955,0.00004385833,0.5469499,0.0001855814,0.0002399624,0.001727803,0.0005294582,0.001281601,0.4040901,0.0004369222,0.0004695643,0.04327429],"study_design_scores_gemma":[0.00001303558,0.00009508169,0.967996,0.00001855642,0.000113167,0.005164496,0.0002305048,0.002464539,0.02055788,0.00058891,0.002743804,0.00001392213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967726,0.0006600152,0.0008262473,0.00003747602,0.000002275058,0.000005163319,0.0008822761,0.0000221922,0.0007916992],"genre_scores_gemma":[0.9977728,0.0002001874,0.0005344967,0.00003862942,0.000004497213,0.000009418667,0.001149703,0.00001144183,0.000278842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002131324,"threshold_uncertainty_score":0.007129967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009048029076662474,"score_gpt":0.2285128186527416,"score_spread":0.2194647895760791,"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."}}