{"id":"W4411696885","doi":"10.59275/j.melba.2025-f6fg","title":"BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023","year":2025,"lang":"en","type":"article","venue":"The Journal of Machine Learning for Biomedical Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Medicine","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":[0.00696462,0.003070227,0.001710912,0.002574122,0.0008632737,0.001843012,0.001753171,0.002839555,0.002250119],"category_scores_gemma":[0.01924263,0.0004063339,0.002150023,0.001696516,0.001058551,0.001624017,0.002739467,0.002056403,0.00191575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001989208,"about_ca_system_score_gemma":0.002989985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02423837,"about_ca_topic_score_gemma":0.02928967,"domain_scores_codex":[0.9955136,0.00143798,0.0002591149,0.0008946779,0.001423683,0.0004709101],"domain_scores_gemma":[0.9921773,0.00312435,0.000432555,0.0008630183,0.002376001,0.001026848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004246285,0.001688004,0.03441199,0.001837355,0.00174986,0.001286149,0.0005154512,0.1683526,0.008488688,0.003968692,0.4382744,0.3351806],"study_design_scores_gemma":[0.001633608,0.00317425,0.08507471,0.0007798692,0.001075971,0.00414565,0.001638629,0.6155202,0.03920339,0.01435629,0.2330054,0.0003920232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6482859,0.02074819,0.1120488,0.0180469,0.005884459,0.002542775,0.1285915,0.02394017,0.03991131],"genre_scores_gemma":[0.5610347,0.003571889,0.1238056,0.003764508,0.001184535,0.001105396,0.2891086,0.003465838,0.01295881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02423837,"threshold_uncertainty_score":0.04819459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205186063516096,"score_gpt":0.3193921706241968,"score_spread":0.3073403099890358,"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."}}