{"id":"W4408171770","doi":"10.59275/j.melba.2025-bea1","title":"Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge","year":2025,"lang":"en","type":"article","venue":"The Journal of Machine Learning for Biomedical Imaging","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Toronto; McGill University; University of Ottawa; Montreal Neurological Institute and Hospital","funders":"","keywords":"Meningioma; Medicine; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.002247436,0.0001230407,0.0004125115,0.0005927304,0.00020772,0.00002071967,0.0002910785,0.00003719037,0.00008991465],"category_scores_gemma":[0.0005485884,0.00006483349,0.0003824483,0.001158508,0.0001709033,0.00006699328,0.000108733,0.0004204559,9.170795e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006107383,"about_ca_system_score_gemma":0.00007546814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004607733,"about_ca_topic_score_gemma":0.000003553695,"domain_scores_codex":[0.9982852,0.0002281438,0.0006556799,0.0001075827,0.0005279246,0.0001954979],"domain_scores_gemma":[0.9986388,0.0003815826,0.0005432689,0.0001890073,0.000174426,0.00007290843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005755705,0.001547385,0.1724884,0.00136907,0.02513782,0.0005454326,0.008379703,0.006349354,0.1463559,0.002570324,0.01085025,0.6186507],"study_design_scores_gemma":[0.01027991,0.001502379,0.1691137,0.001265627,0.02891595,0.0007519972,0.00381775,0.7576847,0.003414506,0.001493323,0.02138068,0.0003795318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858108,0.001594019,0.07218082,0.03812278,0.0006349137,0.0004102779,0.000006372063,0.00001961311,0.001220414],"genre_scores_gemma":[0.9977266,0.00003150386,0.001284215,0.0001893571,0.0001383641,0.000003123729,0.00001406308,0.00000919486,0.0006035826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7513354,"threshold_uncertainty_score":0.2643833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167730608787076,"score_gpt":0.3034014316426765,"score_spread":0.2917241255548058,"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."}}