{"id":"W4392296400","doi":"10.1097/01.cot.0001009844.75140.19","title":"Tactics of Multiple Myeloma in Evading Targeted Immunotherapies","year":2024,"lang":"en","type":"article","venue":"Oncology Times","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple myeloma; Computational biology; Cancer research; Computer science; Medicine; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002009522,0.0001072062,0.0003135824,0.0002829821,0.00002613709,0.000009029983,0.00006064676,0.0001214026,0.0007918443],"category_scores_gemma":[0.0002366824,0.00008400172,0.00007723773,0.0002587586,0.0001105333,0.0000678511,0.00003300232,0.0002096585,0.0001552477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075866,"about_ca_system_score_gemma":0.0002900481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001543614,"about_ca_topic_score_gemma":0.00005937038,"domain_scores_codex":[0.9990957,0.00007383886,0.0002329049,0.0001861364,0.0001528025,0.0002586646],"domain_scores_gemma":[0.9991952,0.000492292,0.00003307832,0.0001622903,0.00004773245,0.00006939461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002310629,0.001476879,0.3833031,0.0006082089,0.001552707,0.003384558,0.003689915,0.00001864266,0.2321604,0.001126062,0.006937057,0.3634318],"study_design_scores_gemma":[0.01415834,0.004465718,0.6419277,0.000954296,0.0002341066,0.0004087485,0.001312145,0.03164392,0.1028367,0.001028384,0.2006097,0.0004202898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961356,0.01038915,0.00005073011,0.001647414,0.0002431643,0.0004880406,0.00002142358,0.00009833061,0.02570574],"genre_scores_gemma":[0.9910557,0.0003252929,0.003257483,0.00005305058,0.00005110741,0.00003830719,0.00003009518,0.0000212262,0.005167767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3630116,"threshold_uncertainty_score":0.8670139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780771361232466,"score_gpt":0.3515694154215863,"score_spread":0.3237617018092617,"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."}}