{"id":"W4414003234","doi":"10.2147/ott.s398118","title":"The Role of CELMoD Agents in Multiple Myeloma","year":2025,"lang":"en","type":"article","venue":"OncoTargets and Therapy","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research; University of Calgary","funders":"Janssen Pharmaceuticals; Kite Pharma; Genentech; Servier; Regeneron Pharmaceuticals; Adaptive Biotechnologies; Karyopharm Therapeutics; BeiGene; Sanofi; Celgene; Bristol-Myers Squibb; AstraZeneca; TG Therapeutics; Amgen; Pfizer","keywords":"Multiple myeloma; Medicine; Computer science; Computational biology; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001359592,0.00008850624,0.0001784387,0.00007510187,0.00009479061,0.0000121928,0.00006378833,0.00004127967,0.00002929046],"category_scores_gemma":[0.00004309646,0.00005051675,0.00004702291,0.0001346723,0.00007993603,0.00002599038,0.00002775731,0.00008939145,0.000003905053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002630354,"about_ca_system_score_gemma":0.00006120108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002993433,"about_ca_topic_score_gemma":0.000106977,"domain_scores_codex":[0.9993204,0.00003860145,0.0001572371,0.0001401227,0.0001376233,0.0002060327],"domain_scores_gemma":[0.9995481,0.0001334988,0.00002934942,0.000186526,0.00004048881,0.0000620801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007446888,0.000231812,0.5982038,0.00001132386,0.0001037463,0.00001382997,0.000132103,4.07316e-7,0.004834969,0.000563455,0.00009421381,0.3950656],"study_design_scores_gemma":[0.005297759,0.0002307931,0.8690926,0.00005559185,0.000006000407,0.000002292511,0.0001521762,0.001243513,0.01667019,0.001661064,0.1055402,0.00004785906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732622,0.01581073,0.000004073383,0.0005854549,0.00004665017,0.0003974149,0.000006025432,0.000009709364,0.009877778],"genre_scores_gemma":[0.9917832,0.006845953,0.0001315994,0.0001004845,0.00001700586,0.00003429799,0.000007195172,0.000007001831,0.001073247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3950177,"threshold_uncertainty_score":0.2060013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251265564514516,"score_gpt":0.3203897543938081,"score_spread":0.2952631979423564,"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."}}