{"id":"W2914157523","doi":"10.1038/s41375-018-0374-8","title":"Functional profiling of venetoclax sensitivity can predict clinical response in multiple myeloma","year":2019,"lang":"en","type":"letter","venue":"Leukemia","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; Emory University; U.S. Department of Health and Human Services","keywords":"Venetoclax; Multiple myeloma; Medicine; Oncology; Immunology; Leukemia; Chronic lymphocytic leukemia","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001506705,0.000399812,0.001123487,0.0004249699,0.00004592976,0.00001400898,0.0001225719,0.001221367,0.00009774354],"category_scores_gemma":[0.002725073,0.0003489638,0.0003896275,0.0002612885,0.0002352934,0.00005040334,0.0001370893,0.003024285,0.0001555177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502621,"about_ca_system_score_gemma":0.00529088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052726,"about_ca_topic_score_gemma":0.0001474058,"domain_scores_codex":[0.995553,0.001108938,0.0008748482,0.0007814476,0.0009907102,0.0006910742],"domain_scores_gemma":[0.9950714,0.003399191,0.0002897482,0.0008512564,0.0002215522,0.0001668999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02116636,0.0001541681,0.6436687,0.0009852786,0.0006099112,0.01020797,0.0000615219,0.0001814888,0.003495262,0.000001586391,0.3165357,0.00293215],"study_design_scores_gemma":[0.01045048,0.001196425,0.9431471,0.0008141705,0.0001356595,0.0002138561,0.00001920655,0.008061323,0.002775244,0.00001000313,0.032852,0.0003245816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539905,0.0001010905,0.00003787119,0.04237746,0.0006060605,0.001884529,0.0005620478,0.00006656347,0.000373895],"genre_scores_gemma":[0.935045,0.00004155669,0.001142874,0.052306,0.002860081,0.0001189464,0.002964082,0.0001215391,0.005399944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2994784,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06348571096583726,"score_gpt":0.3297354700999637,"score_spread":0.2662497591341264,"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."}}