{"id":"W2133242949","doi":"10.1016/j.neuropsychologia.2007.08.027","title":"Ventral frontal cortex functions and quantified MRI in traumatic brain injury","year":2007,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; Baycrest Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Psychology; Traumatic brain injury; Frontal lobe; White matter; Neuroscience; Anterior cingulate cortex; Retrosplenial cortex; Diffuse axonal injury; Cortex (anatomy); Diffusion MRI; Frontal cortex; Magnetic resonance imaging; Medicine; Cognition; Psychiatry","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":[0.0008826622,0.000176352,0.0003072908,0.000332343,0.0000674588,0.00002849621,0.0001228009,0.0001444646,0.0003476027],"category_scores_gemma":[0.0003275923,0.0001586528,0.00006380956,0.0004596791,0.0002267916,0.00008071581,0.00003829908,0.0006658609,0.0001940742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000060567,"about_ca_system_score_gemma":0.00003898172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003394575,"about_ca_topic_score_gemma":0.00007078919,"domain_scores_codex":[0.9981137,0.000116888,0.0004632511,0.0004532496,0.0003164854,0.0005364149],"domain_scores_gemma":[0.998896,0.0003407455,0.00006274161,0.000438364,0.00003697348,0.0002251685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005016681,0.002459601,0.5410976,0.0003443557,0.0001443838,0.001903891,0.002565633,0.000002203426,0.2041394,0.001370262,0.08867231,0.1522836],"study_design_scores_gemma":[0.001948955,0.0008874849,0.9943987,0.00005736343,0.00001642878,0.0002866406,0.0004917992,0.00009734106,0.0001461314,0.00009222238,0.001447633,0.000129332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843706,0.00005418581,0.000558666,0.002758845,0.0004801272,0.0005994451,0.00001241671,0.0001147952,0.01105091],"genre_scores_gemma":[0.9964815,0.00001563728,0.0006237097,0.001364741,0.0000934062,0.00001683317,0.00001665174,0.00003315728,0.001354415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.453301,"threshold_uncertainty_score":0.6469675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07979879761259372,"score_gpt":0.386207356188346,"score_spread":0.3064085585757522,"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."}}