{"id":"W4289836925","doi":"10.1038/s41408-022-00710-9","title":"Venetoclax ex vivo functional profiling predicts improved progression-free survival","year":2022,"lang":"en","type":"letter","venue":"Blood Cancer Journal","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research; University of Calgary","funders":"Winship Cancer Institute; Emory University; Multiple Myeloma Research Foundation; National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; American Cancer Society","keywords":"Ex vivo; Venetoclax; Profiling (computer programming); In vivo; Medicine; Oncology; Computational biology; Internal medicine; Biology; Bioinformatics; Cancer research; Leukemia; Computer science; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005477567,0.0001889781,0.0004600021,0.0002043995,0.0003076415,0.0008079454,0.0002368562,0.001750573,0.002360994],"category_scores_gemma":[0.002197252,0.0001082602,0.0002259709,0.0001769222,0.0002880819,0.0003725936,0.0001341603,0.002462189,0.001146547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005885628,"about_ca_system_score_gemma":0.0002044467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005399864,"about_ca_topic_score_gemma":0.001057346,"domain_scores_codex":[0.9997184,0.00006993656,0.00001911244,0.00004516167,0.00009077051,0.00005657923],"domain_scores_gemma":[0.9990663,0.0005708913,0.00005880616,0.00007553418,0.0001178366,0.0001106968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.006983527,0.0006756624,0.0983251,0.0003660425,0.0001872233,0.01197815,0.0002875491,0.001437542,0.07264291,0.006288852,0.4223135,0.3785139],"study_design_scores_gemma":[0.001326354,0.003999104,0.2049741,0.0003111824,0.000565149,0.05701746,0.0007058615,0.01444115,0.06279586,0.0242421,0.6294886,0.0001330373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3583053,0.02227053,0.007178626,0.5434284,0.01793644,0.0001702028,0.002987703,0.0007259959,0.04699672],"genre_scores_gemma":[0.8533595,0.005151795,0.002903916,0.1059831,0.008636186,0.0001282293,0.001381982,0.00008028343,0.02237497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002360994,"threshold_uncertainty_score":0.007898331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03865670919764509,"score_gpt":0.3196668493851467,"score_spread":0.2810101401875016,"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."}}