{"id":"W4386202664","doi":"10.1038/s41408-023-00888-6","title":"Correction: Redefining attrition in multiple myeloma (MM): a Canadian Myeloma Research Group (CMRG) analysis","year":2023,"lang":"en","type":"erratum","venue":"Blood Cancer Journal","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Memorial University of Newfoundland; McGill University; Dalhousie University; Princess Margaret Cancer Centre; University of Calgary; Vancouver General Hospital; Juravinski Cancer Centre; Institute of Cancer Research; Queen Elizabeth II Health Sciences Centre; University of Saskatchewan; Université de Montréal; Hôpital Maisonneuve-Rosemont; Saint John Regional Hospital; BC Cancer Agency; CancerCare Manitoba; Ottawa Hospital","funders":"","keywords":"Multiple myeloma; Medicine; Attrition; Internal medicine; Oncology; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002527209,0.0006289103,0.001509213,0.008450868,0.001203957,0.0004049512,0.000510176,0.001032935,0.00160044],"category_scores_gemma":[0.001726257,0.0005977854,0.0007726727,0.006943825,0.0002177017,0.0002191657,0.0001516215,0.007237128,0.0002343679],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004245675,"about_ca_system_score_gemma":0.007022236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3410029,"about_ca_topic_score_gemma":0.8814697,"domain_scores_codex":[0.9919568,0.0007981759,0.001129584,0.001090476,0.002675843,0.002349176],"domain_scores_gemma":[0.9952602,0.0004540873,0.0003733462,0.0007617282,0.001084936,0.002065695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006437824,0.0003924074,0.1610242,0.0002442856,0.005821531,0.01353982,0.0003998021,0.00005213804,0.0000706664,0.000005708879,0.7906758,0.02712986],"study_design_scores_gemma":[0.01110553,0.001339336,0.7303987,0.005448794,0.003545135,0.00187918,0.001182055,0.004935076,0.00008343828,0.00009178252,0.2391118,0.0008791103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2590846,0.1888091,0.0001664034,0.04400514,0.2316117,0.0144494,0.006604274,0.001480192,0.2537893],"genre_scores_gemma":[0.5901322,0.03190238,0.0005980716,0.0003883135,0.01672002,0.001364363,0.005096579,0.0005249738,0.3532731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5693745,"threshold_uncertainty_score":0.9996474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09519958533312171,"score_gpt":0.3730499437581672,"score_spread":0.2778503584250455,"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."}}