{"id":"W4414320880","doi":"10.1182/bloodadvances.2025016827","title":"Development and validation of a gene expression signature to predict early events in patients with follicular lymphoma","year":2025,"lang":"en","type":"article","venue":"Blood Advances","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia; Princess Margaret Cancer Centre","funders":"National Cancer Institute; Hope Foundation","keywords":"Follicular lymphoma; Logistic regression; Gene expression profiling; Cohort; Clinical trial; Lymphoma; Gene expression; Retrospective cohort study; Confidence interval","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":[0.002322717,0.0004350137,0.0004364348,0.0008160713,0.0001714048,0.0008231088,0.0003802215,0.0004411053,0.0006449543],"category_scores_gemma":[0.004028982,0.0001713203,0.0003294789,0.0005248962,0.0002366215,0.0003275556,0.000391714,0.0005413657,0.0003445375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005968,"about_ca_system_score_gemma":0.0006092454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009412362,"about_ca_topic_score_gemma":0.000845674,"domain_scores_codex":[0.9992406,0.0003180289,0.00005542343,0.0001447619,0.0001725035,0.00006872672],"domain_scores_gemma":[0.9986338,0.0005812152,0.0003020932,0.0001199783,0.0002565306,0.0001063223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002131498,0.0002665633,0.9437807,0.0000386734,0.0001232398,0.00007771253,0.00005753709,0.006983018,0.01229142,0.00009203797,0.000561751,0.0335958],"study_design_scores_gemma":[0.0003524353,0.004430053,0.7452056,0.00004173906,0.0003273391,0.0009242459,0.0002040297,0.2189782,0.02663207,0.000600955,0.002255615,0.00004763097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937146,0.0002476569,0.004935229,0.00008240799,0.00001013725,0.00007728288,0.000477033,0.00006368318,0.0003918514],"genre_scores_gemma":[0.9961098,0.00003744967,0.003046571,0.00003362471,0.00000784981,0.00003605513,0.0005985616,0.00000623562,0.0001238579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002322717,"threshold_uncertainty_score":0.01228386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004189811290160337,"score_gpt":0.2238877554359425,"score_spread":0.2196979441457822,"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."}}