{"id":"W4376106087","doi":"10.1097/01.hs9.0000936160.56974.35","title":"P08 TEMPORAL TRENDS IN PROGNOSIS OF PATIENTS WITH SMOLDERING MULTIPLE MYELOMA (SMM) WHO MEET CRITERIA FOR BIOMARKER-DEFINED EARLY MULTIPLE MYELOMA (SLIM CRAB POSITIVE MM)","year":2023,"lang":"en","type":"article","venue":"HemaSphere","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas MD Anderson Cancer Center; Centre Hospitalier Universitaire de Toulouse; Syddansk Universitet; Université de Toulouse; Memorial Sloan-Kettering Cancer Center; Karolinska Institutet; University of Alberta; University of Wolverhampton; National Institute for Health and Care Research; Massachusetts General Hospital; St Vincent's Hospital Melbourne; Université de Lille","keywords":"Medicine; Multiple myeloma; Internal medicine; Oncology; Biomarker; Progression-free survival; Overall survival","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000274186,0.0005411868,0.0009716355,0.0005765201,0.0001760681,0.00005779254,0.0002221931,0.000237535,0.0002377674],"category_scores_gemma":[0.0004057451,0.0004417939,0.0002803633,0.00157642,0.0001784243,0.0002959099,0.0001607862,0.0001961081,0.00002955551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043141,"about_ca_system_score_gemma":0.0001313741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024149,"about_ca_topic_score_gemma":0.001655052,"domain_scores_codex":[0.9963982,0.0001284866,0.0007400971,0.0008491234,0.0007917781,0.001092311],"domain_scores_gemma":[0.9978687,0.0004636593,0.0002509131,0.0005555009,0.0004431403,0.0004181114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006979205,0.001163459,0.9480844,0.0004980795,0.0005148061,0.0002507892,0.0008717967,0.000005096415,0.003192018,0.00001483907,0.001584951,0.03684054],"study_design_scores_gemma":[0.02213367,0.0023145,0.9580553,0.0008119846,0.000109888,0.000006873162,0.0003884695,0.004096366,0.01129496,0.00002252423,0.0003584952,0.0004069339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951099,0.0001135013,0.00007791439,0.0004056326,0.0000985913,0.002458448,0.0008654835,0.0002014773,0.0006690389],"genre_scores_gemma":[0.9910961,0.00001205051,0.005063388,0.0000440384,0.00006483552,0.0008844487,0.001634053,0.000146778,0.001054316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0364336,"threshold_uncertainty_score":0.9998034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04316716519591803,"score_gpt":0.3130816902406481,"score_spread":0.2699145250447301,"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."}}