{"id":"W3011866243","doi":"10.1182/blood.2019002385","title":"Coding and noncoding drivers of mantle cell lymphoma identified through exome and genome sequencing","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Canada's Michael Smith Genome Sciences Centre; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Exome sequencing; Biology; Exome; Mantle cell lymphoma; Genetics; Exon; Cancer research; Lymphoma; Gene; Mutation; 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":[0.00007373546,0.00007736954,0.0001102636,0.00001633221,0.00006207715,0.00002393143,0.00007721104,0.00005300994,0.000006276966],"category_scores_gemma":[0.00002794719,0.00007780852,0.00002718438,0.00005104637,0.0000583496,0.000007061658,0.0001415911,0.00003461514,0.000001661369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005054537,"about_ca_system_score_gemma":0.00003171965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003500432,"about_ca_topic_score_gemma":0.000003076725,"domain_scores_codex":[0.9993899,0.00001955189,0.0001128101,0.0002246408,0.00008549274,0.0001675425],"domain_scores_gemma":[0.999734,0.000009876069,0.00004430974,0.00009750053,0.00002528583,0.00008899617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001564325,0.00001690396,0.002189299,0.00007806371,0.00003134699,0.00001885785,0.0004205829,0.000003147381,0.9970203,0.00004029496,0.00001585095,0.0001497045],"study_design_scores_gemma":[0.001692688,0.0001945555,0.002580494,0.00001671038,0.00002906523,0.00002197858,0.0009910151,0.0001126037,0.9938933,0.0000163314,0.00032931,0.000121978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970921,0.001233503,0.0005066738,0.0000570087,0.00001462144,0.000081126,0.000008809263,0.000005735095,0.001000408],"genre_scores_gemma":[0.9983341,0.0005881904,0.0006939385,0.00008847415,0.0000633681,0.000002394969,0.000009497225,0.00001060071,0.0002094965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003127035,"threshold_uncertainty_score":0.3172939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119271244594589,"score_gpt":0.2386409658887554,"score_spread":0.2174482534428095,"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."}}