{"id":"W4379281373","doi":"10.1200/jco.2023.41.16_suppl.8056","title":"Three-dimensional telomere profiling to predict risk of progression in smoldering multiple myeloma.","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; University of Manitoba","funders":"","keywords":"Medicine; Monoclonal gammopathy of undetermined significance; Multiple myeloma; Oncology; Internal medicine; Tumor progression; Disease; Risk stratification; Telomere; Cancer; Monoclonal; Immunology; Monoclonal antibody; Genetics; Biology; Antibody","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003393814,0.0001261314,0.0007774335,0.0003757596,0.00003528579,0.0000323663,0.0007841259,0.0001380682,0.000003581711],"category_scores_gemma":[0.008621044,0.00009629633,0.0002947003,0.000765041,0.0001130527,0.0005405076,0.0005740462,0.0005161779,0.00002723745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005178772,"about_ca_system_score_gemma":0.0008699155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001472135,"about_ca_topic_score_gemma":0.00003956717,"domain_scores_codex":[0.996614,0.0002185645,0.001999502,0.0002787903,0.0005762117,0.0003128764],"domain_scores_gemma":[0.9950778,0.002670428,0.001311896,0.0002822636,0.0003045561,0.0003530309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003048562,0.0008413215,0.609431,0.00002361669,0.00006317691,0.0004272689,0.00005191845,0.003532983,0.000249049,0.0002037141,0.001203618,0.3836675],"study_design_scores_gemma":[0.002962418,0.003484901,0.9286663,0.0004166812,0.00003997019,0.00006132454,0.00002902831,0.05646913,0.001363811,0.004886848,0.0014553,0.0001642967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935559,0.0001417923,0.00325077,0.001364202,0.001123891,0.0002152919,0.000007209312,0.00005507008,0.0002858643],"genre_scores_gemma":[0.91593,0.00001604602,0.08364645,0.0001846914,0.0001920653,0.000006285386,0.000001027718,0.00001135944,0.00001210489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3835032,"threshold_uncertainty_score":0.9997298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08638838182639255,"score_gpt":0.4239433698228404,"score_spread":0.3375549879964479,"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."}}