{"id":"W4405488943","doi":"10.1109/embc53108.2024.10782602","title":"Anomaly Detection in Pediatric and Adults Brain MRI with Generative Model","year":2024,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"University of Toronto","keywords":"Anomaly detection; Anomaly (physics); Generative grammar; Generative model; Computer science; Geology; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001025408,0.0005395367,0.0004729466,0.0007484821,0.0001772731,0.0006552643,0.000735055,0.0008048483,0.0007381873],"category_scores_gemma":[0.003574393,0.0003544462,0.0007676014,0.0003188824,0.000528098,0.000563345,0.0008364418,0.001063286,0.0002778635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006402745,"about_ca_system_score_gemma":0.0005098534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003982514,"about_ca_topic_score_gemma":0.003662993,"domain_scores_codex":[0.9995839,0.0001301277,0.00001702747,0.0001290726,0.00009691531,0.00004303709],"domain_scores_gemma":[0.9988416,0.000664742,0.0001707079,0.0001106295,0.0001497903,0.00006255563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002225422,0.00007390885,0.02138079,0.00008986864,0.0001412312,0.001030529,0.0002112003,0.8037251,0.01006466,0.01199519,0.003639092,0.1474259],"study_design_scores_gemma":[0.000003144967,0.00001768048,0.0009571084,0.000004663082,0.000009201512,0.000259921,0.000007960336,0.9934726,0.001355888,0.003536018,0.0003690728,0.000006879688],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1677421,0.001076064,0.8260671,0.001109723,0.0001086829,0.00007303876,0.0003890606,0.001394968,0.002039226],"genre_scores_gemma":[0.9365842,0.0004555431,0.06036694,0.0002309475,0.00006382752,0.00004297623,0.0004685705,0.00009343447,0.001693584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003982514,"threshold_uncertainty_score":0.007918656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303505912482864,"score_gpt":0.2798627488611351,"score_spread":0.2668276897363064,"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."}}