{"id":"W4416097312","doi":"10.1186/s40348-025-00210-3","title":"surviBALL: exploring lncRNA expression at diagnosis for 5-year EFS risk stratification in pediatric B-ALL—a proof of concept","year":2025,"lang":"en","type":"article","venue":"Molecular and Cellular Pediatrics","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Berrikuntza + Ikerketa + Osasuna Eusko Fundazioa; Euskal Herriko Unibertsitatea; Hezkuntza, Hizkuntza Politika Eta Kultura Saila, Eusko Jaurlaritza; Fondation Charles-Bruneau; Eusko Jaurlaritza; Fundación Mutua Madrileña; European Association for Cancer Research","keywords":"Risk stratification; Proof of concept; Complement (music); Expression (computer science); Diabetes mellitus; Risk assessment; Stratification (seeds)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004995341,0.0001935929,0.0003568664,0.0004215679,0.00007337986,0.00001995543,0.0001425373,0.0001863479,0.00001549918],"category_scores_gemma":[0.0006179656,0.0001842732,0.0001196159,0.0006540847,0.00005905596,0.00007883828,0.0001398653,0.0002199629,0.000001811183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002227471,"about_ca_system_score_gemma":0.0003045079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006434416,"about_ca_topic_score_gemma":0.000009241773,"domain_scores_codex":[0.9981681,0.0001215491,0.0004924263,0.0004468841,0.0004220463,0.0003489568],"domain_scores_gemma":[0.9987386,0.0003893054,0.0001678013,0.000370532,0.0001925325,0.0001411856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001096026,0.0009850144,0.9011912,0.003580407,0.0001370383,0.0001826709,0.001481245,0.0007982834,0.07299672,0.00110086,0.003433547,0.01301698],"study_design_scores_gemma":[0.006765219,0.0004613701,0.01733597,0.00009627071,0.0008567584,0.000003559127,0.0002802588,0.002230526,0.9703763,0.000530035,0.0007361747,0.0003275131],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572232,0.007836074,0.03318034,0.000134501,0.0001263442,0.001179463,0.00004324534,0.00002466612,0.0002521428],"genre_scores_gemma":[0.9949258,0.002554873,0.001696507,0.00003607537,0.0001264748,0.0003757504,0.0001278219,0.00003176928,0.0001249282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8973796,"threshold_uncertainty_score":0.7514441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280044841770934,"score_gpt":0.2717953174698876,"score_spread":0.2489948690521782,"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."}}