{"id":"W2980002967","doi":"10.1182/blood.v128.22.2113.2113","title":"Ex Vivo Modeling of Multiple Myeloma Provides Basis for Studying Treatment Combinations and Immunotherapy","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Immunotherapy; Medicine; Ipilimumab; Pembrolizumab; Ex vivo; Cancer research; Tumor microenvironment; Nivolumab; Multiple myeloma; Immunology; In vivo; Immune system; Biology","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":[0.0002255927,0.0004276712,0.0002760552,0.000216587,0.0001966315,0.0006529868,0.000445187,0.0005710064,0.001459839],"category_scores_gemma":[0.0000950359,0.0002384653,0.0004351296,0.000226492,0.0001853242,0.0003370964,0.0003462897,0.0006980966,0.0005289458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004424949,"about_ca_system_score_gemma":0.0003787843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001576982,"about_ca_topic_score_gemma":0.001704717,"domain_scores_codex":[0.9998813,0.00001664888,0.000009486372,0.0000285426,0.00004422919,0.0000198114],"domain_scores_gemma":[0.9999263,0.00001463444,0.00001910689,0.000014815,0.00001220786,0.0000130049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008610795,0.0001011064,0.0007579701,0.0001632814,0.00002625706,0.0001453242,0.00003548831,0.02208239,0.9684297,0.00182435,0.0004676836,0.005880377],"study_design_scores_gemma":[0.00004394357,0.0004680935,0.002348107,0.00003891974,0.00007352716,0.0003476821,0.00005310067,0.09352904,0.8752719,0.001169145,0.02663059,0.00002587143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6157458,0.007712395,0.3505255,0.00108818,0.0003251726,0.0003981318,0.006937731,0.001286875,0.01598022],"genre_scores_gemma":[0.9118258,0.004522379,0.07469551,0.0001386741,0.00003172997,0.0003894649,0.001901594,0.00008864315,0.006406183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001576982,"threshold_uncertainty_score":0.004883647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339702392790718,"score_gpt":0.3135478860589719,"score_spread":0.2601508621310647,"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."}}