{"id":"W4390953123","doi":"10.3389/fnins.2024.1296357","title":"Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches","year":2024,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Universitätsklinikum Hamburg-Eppendorf; Deutsche Forschungsgemeinschaft","keywords":"Voxel; Normalization (sociology); Spatial normalization; Artificial intelligence; Computer science; Lesion; Pattern recognition (psychology); Medicine; Pathology","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":[0.01433631,0.001462653,0.0009586854,0.001658848,0.0005885911,0.002346697,0.001365651,0.000895555,0.002539094],"category_scores_gemma":[0.0478571,0.0005384594,0.001497046,0.001777199,0.0008385936,0.00177992,0.002431511,0.001345345,0.001326153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000828181,"about_ca_system_score_gemma":0.001688079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004067201,"about_ca_topic_score_gemma":0.005182355,"domain_scores_codex":[0.9922352,0.004805948,0.0004645811,0.0007525342,0.001545259,0.0001964127],"domain_scores_gemma":[0.9742143,0.02007336,0.001563204,0.00217732,0.001746288,0.0002256209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002712256,0.0003936565,0.01926925,0.001082653,0.001398299,0.0002043444,0.0007472481,0.2110883,0.03927242,0.011507,0.00331924,0.7090054],"study_design_scores_gemma":[0.0001316678,0.001234639,0.01570012,0.0002003013,0.000497504,0.000847618,0.0003301659,0.902853,0.05850818,0.01227236,0.007243976,0.0001804347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1164735,0.001979932,0.8734848,0.00077009,0.0001287515,0.0003767655,0.0003402737,0.003603546,0.00284219],"genre_scores_gemma":[0.3840413,0.001112853,0.6103967,0.0001370327,0.00007021843,0.0002708067,0.000714703,0.002212289,0.001044168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01433631,"threshold_uncertainty_score":0.07581854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08222776442154245,"score_gpt":0.349356933712063,"score_spread":0.2671291692905206,"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."}}