{"id":"W7108839697","doi":"10.1182/blood-2025-6140","title":"Real-time multimodal AI outperforms conventional scores for early risk prediction in BCMA CAR-T–Treated myeloma","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC","funders":"","keywords":"Overfitting; Multiple myeloma; Concordance; Pomalidomide; Logistic regression; Random forest; Framingham Risk Score; Clinical trial; Nomogram","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":[0.001626724,0.0006058268,0.0004665451,0.0007094391,0.0001452089,0.0009705853,0.0003449591,0.0004546866,0.001264313],"category_scores_gemma":[0.004016732,0.0001061375,0.0004287593,0.0003952456,0.0001809882,0.0005347059,0.0005063931,0.0004756206,0.0003150741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005260652,"about_ca_system_score_gemma":0.0003410228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163628,"about_ca_topic_score_gemma":0.001619499,"domain_scores_codex":[0.99951,0.0002121209,0.0000450121,0.0001163619,0.00007176975,0.00004466283],"domain_scores_gemma":[0.9989191,0.0005699727,0.0002335888,0.00005969051,0.0001238969,0.00009376407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005472017,0.0006839546,0.7146791,0.0001057974,0.0004319728,0.0001168964,0.0001299162,0.05302519,0.008729544,0.0003382566,0.001272687,0.2150147],"study_design_scores_gemma":[0.00008768828,0.002217332,0.2985905,0.00003456963,0.000270612,0.0001648163,0.0001557923,0.68858,0.007742941,0.0009688844,0.001138623,0.00004819667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876621,0.0005261538,0.009935948,0.0001880116,0.00002332231,0.00005425262,0.000457197,0.0001898449,0.0009632745],"genre_scores_gemma":[0.997157,0.00005187449,0.002220021,0.000028965,0.00001502424,0.00001911602,0.0003133547,0.000005347675,0.000189358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00163628,"threshold_uncertainty_score":0.008603096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245937130831216,"score_gpt":0.2928575631419537,"score_spread":0.2803981918336416,"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."}}