{"id":"W2610875117","doi":"10.1182/blood.v128.22.2108.2108","title":"B-Cell Markers Predict Response to Venetoclax in Multiple Myeloma","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Venetoclax; Multiple myeloma; Cancer research; IGHV@; Medicine; Immunology; Oncology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005818448,0.0002054025,0.0003423227,0.0008790424,0.0002524316,0.0004225693,0.0002246572,0.0004259049,0.001947306],"category_scores_gemma":[0.00153744,0.0001140134,0.00017796,0.0006971802,0.0001974976,0.0002874994,0.00024111,0.0006222223,0.000342401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628193,"about_ca_system_score_gemma":0.0001137124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006203523,"about_ca_topic_score_gemma":0.0005584145,"domain_scores_codex":[0.9997137,0.00007384344,0.00003873448,0.00005107196,0.00007729417,0.00004531479],"domain_scores_gemma":[0.9987207,0.0004699346,0.0003709193,0.00005062143,0.000155857,0.0002319638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002875385,0.0002329603,0.9547479,0.00006047386,0.00007300574,0.0004223697,0.00007988041,0.0006095,0.02951455,0.00004654169,0.0003606376,0.01097676],"study_design_scores_gemma":[0.00003906272,0.001827915,0.9823734,0.00001709761,0.00006691974,0.002426778,0.0001080106,0.001772529,0.01019912,0.00009123357,0.001068627,0.000009325307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973307,0.001150401,0.0002122039,0.00005441704,0.00001030627,0.00002152124,0.0001859364,0.0000164903,0.001017969],"genre_scores_gemma":[0.9993559,0.0000917411,0.0001464889,0.00001875919,0.00000897707,0.000007214036,0.000159949,0.000002116566,0.0002090053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001947306,"threshold_uncertainty_score":0.00651443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874606279069476,"score_gpt":0.272848247350366,"score_spread":0.2541021845596713,"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."}}