{"id":"W3135532585","doi":"10.1002/ijc.33547","title":"Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients","year":2021,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"National Cancer Institute; Cancer Council Victoria; National Health and Medical Research Council; Mayo Clinic; Medical Research Council; Canadian Institutes of Health Research; Università di Pisa; Wellcome Trust; VicHealth; Deutsches Krebsforschungszentrum; University of Utah; Utah State University; Huntsman Cancer Institute; Utah Department of Health","keywords":"Multiple myeloma; Quantitative trait locus; Biology; Trait; Gene; Genetics; Survival analysis; Oncology; Outcome (game theory); Expression quantitative trait loci; Internal medicine; Medicine; Immunology; Genotype; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001030599,0.0002643518,0.0003782555,0.0006736899,0.0001918783,0.0004745715,0.0002945988,0.0004304071,0.001464711],"category_scores_gemma":[0.001986668,0.0001276361,0.001055769,0.00168177,0.0002304709,0.0001712349,0.0002716411,0.0004206625,0.0001035847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034303,"about_ca_system_score_gemma":0.0001230156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893313,"about_ca_topic_score_gemma":0.001192819,"domain_scores_codex":[0.9993873,0.0002216353,0.00005831036,0.0001913685,0.00008552475,0.00005589302],"domain_scores_gemma":[0.9982893,0.0008565314,0.0005546259,0.000134584,0.00008955957,0.00007531566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001339848,0.00003198938,0.9828742,0.00008656593,0.003194781,0.0001649241,0.00003923348,0.0007694383,0.005965956,0.00007854695,0.000246057,0.00520849],"study_design_scores_gemma":[0.00004402421,0.0001031972,0.9951733,0.00001373443,0.001228452,0.0001626922,0.00003631726,0.001698794,0.0009741237,0.0002348985,0.0003230178,0.000007504052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952621,0.002319305,0.0008892153,0.0001634208,0.0000175409,0.000004597351,0.001086093,0.00001667866,0.0002409813],"genre_scores_gemma":[0.9991479,0.0001649563,0.0001851721,0.00003511448,0.00001307307,0.000004846701,0.0003376986,0.000004358687,0.0001068485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001893313,"threshold_uncertainty_score":0.005450368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05539650152486222,"score_gpt":0.3745659952550232,"score_spread":0.319169493730161,"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."}}