{"id":"W2823828888","doi":"10.1016/j.beha.2018.07.003","title":"Dissecting aggressive B-cell lymphoma through genomic analysis – What is clinically relevant?","year":2018,"lang":"en","type":"review","venue":"Best Practice & Research Clinical Haematology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia","funders":"","keywords":"BCL6; Lymphoma; Biology; Epigenetics; Cancer research; Aggressive lymphoma; B-cell lymphoma; Bromodomain; Computational biology; Diffuse large B-cell lymphoma; Gene expression profiling; B cell; Gene; Germinal center; Genetics; Gene expression; Immunology; Rituximab; Antibody","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.01271018,0.001250591,0.01050603,0.001021215,0.0007402428,0.0006267055,0.001412746,0.003105056,0.0008137444],"category_scores_gemma":[0.05630793,0.0009136857,0.00517668,0.003193795,0.002371583,0.001090097,0.001712145,0.003118071,0.01170093],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253427,"about_ca_system_score_gemma":0.006775477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004762924,"about_ca_topic_score_gemma":0.00007003392,"domain_scores_codex":[0.9774549,0.008193859,0.006435988,0.003631342,0.002083977,0.002199919],"domain_scores_gemma":[0.9092499,0.07634056,0.005534711,0.003959743,0.003638872,0.001276224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001291484,0.02359354,0.002211522,0.009833593,0.02019651,0.02678953,0.0004466599,7.495795e-8,7.66791e-8,0.0004250673,0.009835803,0.9053761],"study_design_scores_gemma":[0.003978796,0.005192232,0.0000542015,0.01468236,0.04055877,0.005062794,0.001093534,0.00001858655,0.000002423844,0.0002368804,0.9284306,0.00068877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002209828,0.9800766,0.00001933677,0.003505195,0.001553195,0.003345973,0.00007089983,0.0001113508,0.009107584],"genre_scores_gemma":[0.0003574121,0.9881202,0.00388646,0.001416987,0.001863725,0.0008408333,0.0004027685,0.0002362867,0.002875345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9185948,"threshold_uncertainty_score":0.9993314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2761243189808988,"score_gpt":0.5802519833887466,"score_spread":0.3041276644078478,"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."}}