{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001792767,0.000296462,0.0002659613,0.001156295,0.000152566,0.0002919526,0.0001704323,0.0002010229,0.001847919],"category_scores_gemma":[0.000271106,0.0001252221,0.0004175873,0.0007265994,0.0001489222,0.00009702876,0.0003393797,0.0002165213,0.0003134921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616942,"about_ca_system_score_gemma":0.0001455601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003608764,"about_ca_topic_score_gemma":0.0007019733,"domain_scores_codex":[0.9998506,0.0000192444,0.000008677159,0.00005153046,0.00004303946,0.00002685907],"domain_scores_gemma":[0.9998885,0.00003440094,0.00003687108,0.00001131123,0.00001017631,0.00001872344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000893447,0.0001126498,0.1054392,0.0003349974,0.0003472381,0.002566605,0.0001728868,0.001410716,0.8487149,0.0005818913,0.0004483364,0.03897712],"study_design_scores_gemma":[0.00008204421,0.0005437693,0.8923559,0.00006238137,0.0008796281,0.009064066,0.0002638278,0.008852785,0.07946934,0.001269107,0.007135903,0.00002125389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903956,0.001077594,0.005634459,0.00005292733,0.00000735263,0.00002833912,0.001694916,0.0001430015,0.000965871],"genre_scores_gemma":[0.9943516,0.0003555765,0.002984907,0.00004110075,0.000008944794,0.00001314767,0.002009788,0.00002358179,0.0002113297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001847919,"threshold_uncertainty_score":0.006181896,"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."}}