{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002870778,0.0004604917,0.00168295,0.002492563,0.0002051283,0.001051795,0.0008208182,0.001006382,0.00284866],"category_scores_gemma":[0.009526984,0.0003620595,0.007049025,0.005776565,0.0001943945,0.001065307,0.0006081852,0.0009900437,0.0003110838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000556438,"about_ca_system_score_gemma":0.0006876611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004595377,"about_ca_topic_score_gemma":0.004584599,"domain_scores_codex":[0.9985209,0.0003865989,0.0003513891,0.0004407454,0.0001825827,0.0001177809],"domain_scores_gemma":[0.9929276,0.003250007,0.00254502,0.0003160118,0.0007411856,0.0002202057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008642659,0.00005924547,0.8634945,0.0177694,0.07607029,0.0002552026,0.0001920509,0.00117398,0.0006638384,0.0003091941,0.003942091,0.02742752],"study_design_scores_gemma":[0.0008227405,0.0009975689,0.8960826,0.002521663,0.08783517,0.0006881276,0.0002750162,0.00181931,0.0003526605,0.0007982477,0.007747249,0.0000595061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5588736,0.4065201,0.001426932,0.001819436,0.0003775371,0.0001211418,0.02786424,0.00008313804,0.002913899],"genre_scores_gemma":[0.9782809,0.0148438,0.000605237,0.0004394543,0.0002202022,0.0001491111,0.005059056,0.00002261574,0.0003796684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004595377,"threshold_uncertainty_score":0.01518232,"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."}}