{"id":"W4379966924","doi":"","title":"The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)</i>.","year":2024,"lang":"en","type":"preprint","venue":"PubMed","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"American Society of Neuroradiology","keywords":"Benchmarking; Medicine; Glioma; Clinical trial; Brain tumor; Medical physics; Internal medicine; Pathology; Cancer research","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":[0.01226981,0.002878584,0.002010635,0.002170778,0.001715478,0.003681724,0.005769386,0.005533097,0.01053883],"category_scores_gemma":[0.03312849,0.0007706335,0.002168077,0.002237983,0.001469085,0.003147765,0.006669459,0.004669919,0.01263644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003645502,"about_ca_system_score_gemma":0.009830065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496225,"about_ca_topic_score_gemma":0.0384182,"domain_scores_codex":[0.992759,0.002221459,0.0003816952,0.001276116,0.002337649,0.001024069],"domain_scores_gemma":[0.9792526,0.005339024,0.001497848,0.002304285,0.007105578,0.004500607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007785897,0.0003117813,0.004480821,0.0009717158,0.0002527832,0.0003159461,0.0001083675,0.0103645,0.003813133,0.003361717,0.8888702,0.08637043],"study_design_scores_gemma":[0.00105617,0.001530853,0.0215584,0.00141908,0.0003012268,0.002564293,0.000705178,0.06971912,0.01909871,0.02749281,0.8542821,0.0002721822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1035989,0.05080155,0.1557321,0.1362726,0.02756239,0.007511651,0.3654968,0.04142891,0.1115953],"genre_scores_gemma":[0.1230355,0.009796384,0.14668,0.02153048,0.00446188,0.004256669,0.6573631,0.01002385,0.02285212],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02496225,"threshold_uncertainty_score":0.06488973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514282712365147,"score_gpt":0.2638648558806295,"score_spread":0.218722028756978,"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."}}