{"id":"W4361949338","doi":"10.1158/1078-0432.c.6518128.v1","title":"Data from Predicting Outcome in Follicular Lymphoma by Using Interactive Gene Pairs","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Follicular lymphoma; International Prognostic Index; Lymphoma; Follicular phase; Internal medicine; Medicine; Oncology; Gene; Gene expression profiling; Gene expression; Diffuse large B-cell lymphoma; Biology; Genetics","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":[0.0009485829,0.0007999365,0.0006463447,0.001457697,0.0004274377,0.0006465686,0.0005893503,0.0005207334,0.001861402],"category_scores_gemma":[0.003156125,0.0001831254,0.001182924,0.00141905,0.0003629157,0.0002733425,0.0005938805,0.0006235734,0.0006046598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006108738,"about_ca_system_score_gemma":0.0005509825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005592227,"about_ca_topic_score_gemma":0.005960136,"domain_scores_codex":[0.9992514,0.0002501445,0.0000375952,0.0002238559,0.0001583835,0.00007843228],"domain_scores_gemma":[0.9983299,0.001129285,0.0001510271,0.0001328625,0.0001686483,0.00008825113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005952375,0.0007998762,0.6471258,0.0006263642,0.001665949,0.0008760333,0.0002231054,0.170354,0.0688154,0.00107276,0.005986047,0.09650241],"study_design_scores_gemma":[0.0001439762,0.001046504,0.4239831,0.00004969535,0.0008411125,0.0006666718,0.0002547902,0.5390642,0.02561003,0.004223348,0.003998328,0.0001181968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.971464,0.0008119907,0.01605708,0.0002377404,0.00003668656,0.00006074664,0.009196955,0.0006462509,0.001488633],"genre_scores_gemma":[0.9751916,0.0001583402,0.008083692,0.00008724478,0.00002227524,0.00009746457,0.01588071,0.00004032252,0.000438255],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005592227,"threshold_uncertainty_score":0.01111937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371579070668033,"score_gpt":0.3661928963235281,"score_spread":0.2290349892567248,"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."}}