{"id":"W3130848886","doi":"10.1117/12.2581075","title":"Machine learning to detect brain lesions in focal epilepsy","year":2021,"lang":"en","type":"article","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Medical Research Council","keywords":"Voxel; Abnormality; Epilepsy; Artificial intelligence; Support vector machine; Computer science; Pattern recognition (psychology); Classifier (UML); Ground truth; Medicine; Psychology; Neuroscience","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":[0.0001803199,0.00007394856,0.00008564973,0.0001061479,0.0001197027,0.00004387872,0.00009650497,0.00003831147,0.0008363018],"category_scores_gemma":[0.002547474,0.00007145845,0.00003754515,0.0007386698,0.00002094997,0.00006548632,0.00005674537,0.0002386414,0.0004162545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004426451,"about_ca_system_score_gemma":0.00003737895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003069037,"about_ca_topic_score_gemma":0.0004455975,"domain_scores_codex":[0.9989089,0.0002563802,0.0001594683,0.0003466644,0.0001460506,0.0001824697],"domain_scores_gemma":[0.9993789,0.0003166061,0.00002395425,0.0001686786,0.00001728876,0.00009460221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001223543,0.00002993033,0.000544198,0.000002627948,3.953234e-7,0.00004009829,0.0001356629,0.0002029565,0.908372,0.003480868,0.0004154988,0.08676347],"study_design_scores_gemma":[0.0003699113,0.00008282999,0.0223503,0.00001187776,0.000001379208,0.00008663474,0.000245444,0.01272475,0.8830647,0.0006895958,0.08020043,0.0001720823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571542,0.00004253641,0.03717843,0.03689915,0.0005072896,0.0003273486,0.000005461816,0.0004835606,0.06740201],"genre_scores_gemma":[0.9808075,0.000008749319,0.0005400446,0.005222205,0.00002459623,0.00001956731,0.000001352268,0.00001134321,0.01336469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1236532,"threshold_uncertainty_score":0.9156919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310074252638088,"score_gpt":0.2900174505999581,"score_spread":0.2469167080735772,"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."}}