{"id":"W4413976388","doi":"10.1158/2643-3230.bcd-25-0005","title":"Timing Genomic Antigen Loss in Multiple Myeloma Treated with T Cell–Redirecting Immunotherapies","year":2025,"lang":"en","type":"article","venue":"Blood Cancer Discovery","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Calgary","funders":"National Cancer Institute; National Institutes of Health","keywords":"Chimeric antigen receptor; CAR T-cell therapy; Multiple myeloma; Antigen; Immunology; Immunotherapy; Digital polymerase chain reaction; Medicine; Biology; Oncology; Cancer research; Genetics; Immune system; Polymerase chain reaction; Gene","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":[0.001199568,0.0001616124,0.0004824715,0.0003073604,0.0002289882,0.000799026,0.0003975069,0.001299853,0.0005947324],"category_scores_gemma":[0.0034795,0.000158829,0.0003157953,0.0003896469,0.0005262658,0.0005446307,0.0003636308,0.002190557,0.000253612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426723,"about_ca_system_score_gemma":0.0005493524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345174,"about_ca_topic_score_gemma":0.00280989,"domain_scores_codex":[0.9995087,0.0001449976,0.000038599,0.0001073304,0.0001514675,0.0000488629],"domain_scores_gemma":[0.9987717,0.0006803331,0.0002441008,0.00006339624,0.0001665242,0.00007389637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006870072,0.0003739898,0.05468027,0.001493915,0.0004371394,0.00316146,0.0007005552,0.001920308,0.101412,0.003734518,0.09323996,0.7319759],"study_design_scores_gemma":[0.001924672,0.01208197,0.3441623,0.002310805,0.001931407,0.01494487,0.001199474,0.01258716,0.1697023,0.01961222,0.4192071,0.0003357476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5429977,0.253256,0.01360913,0.1636719,0.009194575,0.0002116555,0.001327962,0.0008864141,0.01484465],"genre_scores_gemma":[0.9110348,0.0426066,0.002677939,0.03507312,0.004790964,0.0001128336,0.0003062719,0.0001070575,0.003290461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001426723,"threshold_uncertainty_score":0.01035166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903899341181398,"score_gpt":0.2854513872654947,"score_spread":0.2664123938536807,"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."}}