{"id":"W3203270152","doi":"10.1016/j.nicl.2021.102837","title":"Non-parametric combination of multimodal MRI for lesion detection in focal epilepsy","year":2021,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"UCLH Biomedical Research Centre; Medical Research Council; National Institute for Health and Care Research","keywords":"Epilepsy; Lesion; Parametric statistics; Diffusion MRI; Medicine; Psychology; Magnetic resonance imaging; Neuroscience; Physical medicine and rehabilitation; Radiology; Psychiatry; Mathematics; Statistics","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":[0.0003491417,0.0001101148,0.0003578941,0.0001239058,0.00004000168,0.000007770103,0.00007899319,0.0001216306,0.000008776256],"category_scores_gemma":[0.001539567,0.0001137363,0.0001989031,0.0005632948,0.00009754147,0.0000618292,0.00005898204,0.000381369,0.000005063132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002952982,"about_ca_system_score_gemma":0.00006770995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000653193,"about_ca_topic_score_gemma":0.000004852568,"domain_scores_codex":[0.9984711,0.00006603656,0.0006722149,0.0004659422,0.0001565136,0.0001681351],"domain_scores_gemma":[0.9984093,0.0007167162,0.0001642563,0.0004168828,0.0002121507,0.00008068025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001402747,0.007196323,0.234891,0.0002883031,0.00002613728,0.0002016678,0.00004099645,0.0001058052,0.3022363,0.001237506,0.002063883,0.4503093],"study_design_scores_gemma":[0.005276209,0.001446172,0.773261,0.00009583592,0.00005612752,0.00007629176,0.00001552863,0.07163473,0.1397753,0.002408406,0.005782244,0.0001721302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7884383,0.00003920112,0.2080896,0.001938942,0.000206313,0.0009075621,0.000009270376,0.00009328112,0.0002775266],"genre_scores_gemma":[0.9567982,0.0002410853,0.04210479,0.0005435629,0.00008747366,0.00008339372,0.00003126221,0.00002724751,0.00008300605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.53837,"threshold_uncertainty_score":0.4638032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1467661519455453,"score_gpt":0.4572258618028625,"score_spread":0.3104597098573171,"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."}}