{"id":"W4303446646","doi":"10.1007/s00429-022-02570-2","title":"Characterization of structural and functional network organization after focal prefrontal lesions in humans in proof of principle study","year":2022,"lang":"en","type":"article","venue":"Brain Structure and Function","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust","keywords":"Neuroscience; White matter; Prefrontal cortex; Grey matter; Resting state fMRI; Neuroimaging; Functional imaging; Psychology; Lesion; Brain mapping; Default mode network; Inferior frontal gyrus; Functional connectivity; Cognition; Magnetic resonance imaging; Medicine; Radiology; Psychiatry","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":[0.0008284497,0.0003406789,0.0002873862,0.0003780739,0.0002625738,0.0002903703,0.0002515947,0.0003394529,0.00264366],"category_scores_gemma":[0.00146248,0.0002000962,0.0002096229,0.0001239985,0.0007247715,0.0004006817,0.0002570844,0.0003847532,0.000265353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338092,"about_ca_system_score_gemma":0.0002184042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766,"about_ca_topic_score_gemma":0.002649755,"domain_scores_codex":[0.9998434,0.0000420927,0.000007393994,0.00006804762,0.00002042757,0.00001873097],"domain_scores_gemma":[0.9995413,0.0001376809,0.0000952776,0.00013205,0.0000464052,0.00004730886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00500126,0.002714653,0.1242783,0.0009590329,0.001048684,0.005643568,0.002501996,0.007163632,0.7076327,0.006200985,0.006159339,0.1306957],"study_design_scores_gemma":[0.0006251068,0.009219211,0.8610551,0.00009517984,0.0004772896,0.01566238,0.0008981464,0.02987649,0.06135313,0.008829105,0.0117988,0.0001100481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728649,0.0003538793,0.02442547,0.0001383685,0.00003197104,0.0001758151,0.0007854683,0.0001465303,0.001077606],"genre_scores_gemma":[0.9912465,0.0001847944,0.007164391,0.00004506883,0.00001790971,0.0001403367,0.0006341375,0.00002591175,0.0005408814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00264366,"threshold_uncertainty_score":0.008843958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497076743753892,"score_gpt":0.2290478702688442,"score_spread":0.2140771028313053,"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."}}