{"id":"W4382918219","doi":"","title":"The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)</i>.","year":2023,"lang":"en","type":"preprint","venue":"PubMed","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Glioma; Medicine; Brain tumor; Brain cancer; Population; Cancer; Oncology; Pathology; Internal medicine; Environmental health; 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":[0.002650297,0.001253642,0.0007891897,0.001851506,0.001305085,0.001852735,0.001663102,0.002386747,0.00671172],"category_scores_gemma":[0.01064661,0.0003455688,0.0007986858,0.001409851,0.0006394084,0.001453063,0.003363856,0.001784002,0.004819367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002046355,"about_ca_system_score_gemma":0.006151514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05166557,"about_ca_topic_score_gemma":0.06307751,"domain_scores_codex":[0.9985697,0.0002823836,0.000157716,0.0002082085,0.0004691102,0.000312795],"domain_scores_gemma":[0.9947761,0.000829471,0.0005679997,0.0002149009,0.002414061,0.001197381],"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":[0.0004711424,0.00008355613,0.02737661,0.001062076,0.000107643,0.0009752388,0.0003311501,0.002250992,0.003612078,0.002550562,0.7947703,0.1664086],"study_design_scores_gemma":[0.0001806318,0.0003868644,0.07635853,0.001833602,0.0002001541,0.004215773,0.002297617,0.01674324,0.008088127,0.008649715,0.8808913,0.0001545013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1645473,0.05136453,0.05156816,0.2053479,0.02176807,0.004274547,0.3998156,0.01439184,0.08692202],"genre_scores_gemma":[0.2749146,0.0262332,0.08559082,0.03235126,0.005315184,0.003242076,0.5423208,0.003239834,0.02679222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05166557,"threshold_uncertainty_score":0.1027297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07457378065863594,"score_gpt":0.2655089615906164,"score_spread":0.1909351809319805,"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."}}