{"id":"W4389243281","doi":"10.1182/blood-2023-180061","title":"The 3D- Telomere Profiling Assay Identifies High Risk Smoldering Multiple Myeloma Patients with High Precision","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; University of Manitoba; Ontario Genomics","funders":"","keywords":"Telomere; Multiple myeloma; Medicine; Oncology; Internal medicine; Genotyping; Asymptomatic; Bioinformatics; Genotype; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001999719,0.0005052258,0.0004991899,0.00155653,0.0004705823,0.001345158,0.000528522,0.0009664094,0.001190706],"category_scores_gemma":[0.003795833,0.0003871171,0.000580311,0.001041097,0.0003447288,0.0003473273,0.0006182566,0.0007583607,0.0007556425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004056161,"about_ca_system_score_gemma":0.0003204162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608676,"about_ca_topic_score_gemma":0.00208593,"domain_scores_codex":[0.9978588,0.000422088,0.0002111393,0.0006239651,0.0007589531,0.0001249905],"domain_scores_gemma":[0.9981275,0.0004360676,0.0004281248,0.000315632,0.0006209884,0.00007168169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001340869,0.0002381815,0.8598478,0.000248503,0.0004395522,0.0007314628,0.000713868,0.00185823,0.07085664,0.0006464325,0.002638535,0.06044003],"study_design_scores_gemma":[0.00008095362,0.00121394,0.8719981,0.0001287441,0.0005207742,0.005569858,0.0003562749,0.01436859,0.08349614,0.0009587263,0.02117634,0.0001315484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440634,0.007428348,0.03559287,0.0005187381,0.0001725924,0.000299841,0.005963927,0.000467116,0.005493079],"genre_scores_gemma":[0.9776628,0.0009348154,0.01682284,0.0004166281,0.00006141193,0.0001670655,0.002205625,0.00004529709,0.001683526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001999719,"threshold_uncertainty_score":0.01057565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442575065953106,"score_gpt":0.2576301301874951,"score_spread":0.243204379527964,"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."}}