{"id":"W2193707124","doi":"10.1158/1078-0432.ccr-15-2123","title":"Genetic Landscapes of Relapsed and Refractory Diffuse Large B-Cell Lymphomas","year":2015,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Quebec - Clinical Research Organization in Cancer; Dalhousie University; University of British Columbia; McGill University; McGill Genome Centre; Hôpital du Sacré-Cœur de Montréal; Concordia University; BC Cancer Agency; Simon Fraser University; Jewish General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Cancer research; Exome sequencing; Biology; Mutation; Lymphoma; Diffuse large B-cell lymphoma; Cancer; Gene; Somatic evolution in cancer; Exome; Oncology; Medicine; Genetics; 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":[0.0001300435,0.0001387169,0.0001966947,0.0007424226,0.0001571751,0.0003392434,0.0001526795,0.00025495,0.0009316599],"category_scores_gemma":[0.0003932594,0.00009953421,0.0001075761,0.0004303706,0.0002496671,0.000140795,0.0002757128,0.0001114425,0.0001449106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327279,"about_ca_system_score_gemma":0.00007755178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003516507,"about_ca_topic_score_gemma":0.0004763708,"domain_scores_codex":[0.9998561,0.0000301809,0.00001268437,0.00003722822,0.00003807278,0.00002585421],"domain_scores_gemma":[0.9998651,0.00002781523,0.00006580766,0.000007429447,0.000009698007,0.00002422922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001611033,0.0001106699,0.5277109,0.0001434242,0.0001703499,0.003491778,0.0004918247,0.001414955,0.4425621,0.0004705822,0.000237517,0.0215848],"study_design_scores_gemma":[0.00003733504,0.0002969805,0.9739007,0.00001417249,0.00007557424,0.01066512,0.0004421753,0.001529755,0.01154466,0.0004303033,0.001052877,0.00001036205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999438,0.0001983558,0.00006431904,0.00001255336,3.198757e-7,0.000002517433,0.00008647698,0.000004390587,0.0001930274],"genre_scores_gemma":[0.9996486,0.00008423135,0.00006047357,0.00001235543,0.000001013037,0.000002711881,0.0001393038,0.000002347784,0.00004902331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009316599,"threshold_uncertainty_score":0.003116667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1875933151340006,"score_gpt":0.4801511053022541,"score_spread":0.2925577901682536,"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."}}