{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104675,0.0004685897,0.0004886206,0.0005849476,0.000259071,0.0009397612,0.0005428616,0.00097076,0.003163942],"category_scores_gemma":[0.0006456135,0.0001254809,0.000411533,0.0004662755,0.0007323617,0.0008383664,0.000615276,0.001580261,0.001113204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009373226,"about_ca_system_score_gemma":0.0008466952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006403112,"about_ca_topic_score_gemma":0.0009238754,"domain_scores_codex":[0.9997783,0.00006133505,0.00001878748,0.00003393596,0.00006714049,0.00004048922],"domain_scores_gemma":[0.9996871,0.00009483258,0.00007839422,0.0000168491,0.00005893941,0.0000638581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001104206,0.0005061724,0.001842008,0.001986993,0.00008778569,0.0008799846,0.00007607107,0.001255003,0.019735,0.01407254,0.01264215,0.9458121],"study_design_scores_gemma":[0.0006107992,0.004135359,0.005446126,0.00134903,0.0001505453,0.003823484,0.00007834098,0.00137896,0.01577733,0.01062385,0.956576,0.00005032097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01305216,0.9587771,0.001803164,0.007460385,0.0009704609,0.00005115466,0.0001004935,0.00009608419,0.01768897],"genre_scores_gemma":[0.1233887,0.8546337,0.005160203,0.007193895,0.002640771,0.00010283,0.0002724227,0.00003115362,0.006576427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003163942,"threshold_uncertainty_score":0.01058441,"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."}}