{"id":"W2958693056","doi":"10.1200/jco.2019.37.15_suppl.e19509","title":"Early mortality following diagnosis of multiple myeloma from 2011 to 2016 in Alberta, Canada: Initial results from the population-based Identifying Outcomes in Real-World Multiple Myeloma (INFORMM) study.","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Medicine; Multiple myeloma; Lenalidomide; Population; Bortezomib; Incidence (geometry); Internal medicine; Cohort; Regimen; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001179672,0.0005804413,0.0004842108,0.001779884,0.001543241,0.001144769,0.00200652,0.000571963,0.0013586],"category_scores_gemma":[0.002838718,0.0003894948,0.0007712705,0.005382951,0.0006002803,0.0004125813,0.001415032,0.0009827815,0.0002576647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02734962,"about_ca_system_score_gemma":0.02688649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900221,"about_ca_topic_score_gemma":0.9937733,"domain_scores_codex":[0.9989188,0.000085393,0.00008396414,0.0001614942,0.0004557521,0.0002946591],"domain_scores_gemma":[0.997538,0.0001252888,0.0005396244,0.0001041759,0.001090505,0.0006024236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001519012,0.00003169761,0.9923022,0.00006292662,0.0001008198,0.00007367245,0.0001943802,0.0001935859,0.00006482168,0.00006126433,0.003500556,0.003262278],"study_design_scores_gemma":[0.00002638031,0.00001826774,0.9979773,0.00006023679,0.00006084533,0.00005238712,0.0004447553,0.0003776339,0.00002911714,0.000022957,0.000920838,0.000009388489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408264,0.00323515,0.0003713723,0.001137265,0.00006547656,0.0001454239,0.05138317,0.00005604017,0.002779512],"genre_scores_gemma":[0.9750453,0.001386095,0.0004875002,0.0004360798,0.00004622781,0.00005809902,0.02122985,0.00001161048,0.001299261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02734962,"threshold_uncertainty_score":0.1984363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407760366636825,"score_gpt":0.4566960684411596,"score_spread":0.3159200317774771,"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."}}