{"id":"W4389240153","doi":"10.1002/ctm2.1442","title":"Untargeted metabolomics identifies metabolic dysregulation of sphingolipids associated with aggressive chronic lymphocytic leukaemia and poor survival","year":2023,"lang":"en","type":"article","venue":"Clinical and Translational Medicine","topic":"Sphingolipid Metabolism and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Sphingolipid; Metabolomics; Lipidomics; Chronic lymphocytic leukemia; Cancer research; Sphingosine; Phenotype; Ceramide; Biology; Transcriptome; Pharmacology; Immunology; Leukemia; Apoptosis; Biochemistry; Bioinformatics; Gene; Gene expression; Receptor","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":[0.000185748,0.000326093,0.000298318,0.0005795391,0.0001094253,0.0003406126,0.000101844,0.0002446824,0.0008635651],"category_scores_gemma":[0.0001808483,0.00009816098,0.0002047959,0.0004625798,0.0001479583,0.000156448,0.0003205081,0.0002730047,0.0001297762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077753,"about_ca_system_score_gemma":0.00014672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005578452,"about_ca_topic_score_gemma":0.001025249,"domain_scores_codex":[0.9999144,0.00001487726,0.00000499319,0.00002638827,0.00002015713,0.00001920254],"domain_scores_gemma":[0.9998734,0.00002510972,0.00005303312,0.00001146285,0.0000177911,0.00001920791],"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":[0.001376239,0.00005087507,0.03614677,0.0001069093,0.00009518775,0.0001335988,0.00004507372,0.0003060637,0.9478313,0.00006033032,0.0001293533,0.01371845],"study_design_scores_gemma":[0.00007066329,0.001453851,0.6793756,0.00003659281,0.0003721941,0.001211396,0.0001913061,0.003644076,0.3093311,0.0007955657,0.003478778,0.00003887706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943022,0.001913364,0.001990803,0.00009958564,0.00001029948,0.00002234756,0.001196033,0.00005164247,0.0004138358],"genre_scores_gemma":[0.9955884,0.000967811,0.001641978,0.0001007512,0.00001407339,0.00003483157,0.001128937,0.00001321406,0.0005099325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008635651,"threshold_uncertainty_score":0.002888858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803405910727255,"score_gpt":0.3073967633995851,"score_spread":0.2793627042923126,"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."}}