{"id":"W2959261838","doi":"10.1182/blood.2019001126","title":"Integrative genomic analysis identifies key pathogenic mechanisms in primary mediastinal large B-cell lymphoma","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Simon Fraser University; Spinal Cord Injury BC; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Biology; Cancer research; Lymphoma; CDKN2A; BCL10; Gene expression profiling; Gene; Genetics; Gene expression; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002246351,0.0002454054,0.0006255338,0.0003793195,0.00003927178,0.00003020252,0.0001198715,0.0001057438,0.0003691668],"category_scores_gemma":[0.00002348587,0.0001866527,0.0003367146,0.0005475631,0.00002194828,0.00007764794,0.00009224489,0.00007307073,0.000496996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526496,"about_ca_system_score_gemma":0.0001964832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001103325,"about_ca_topic_score_gemma":0.0002002952,"domain_scores_codex":[0.9984414,0.00006827746,0.0003567129,0.0004594174,0.0003128276,0.0003613924],"domain_scores_gemma":[0.9991797,0.00009923218,0.0001207257,0.0004084531,0.00006253571,0.0001293534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002507497,0.01856075,0.8537509,0.0001708612,0.002959301,0.001222123,0.002594836,0.000005893794,0.117431,0.001017609,0.0001487567,0.001887191],"study_design_scores_gemma":[0.02248877,0.0004093767,0.9278986,0.0000804998,0.003243323,0.00005311102,0.0006734752,0.00009912558,0.04449382,0.0002017426,0.0001319038,0.0002262296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929872,0.001348278,0.00008888822,0.00007952438,0.0001220268,0.0004853684,0.00006443866,0.00004217253,0.004782099],"genre_scores_gemma":[0.9968714,0.0001838598,0.001069521,0.0002845254,0.00004580498,0.00009033669,0.0002346047,0.0000233883,0.001196595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07414766,"threshold_uncertainty_score":0.7611477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005698343079260077,"score_gpt":0.2163965688959157,"score_spread":0.2106982258166557,"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."}}