{"id":"W4388530231","doi":"10.1097/wnr.0000000000001968","title":"Exploratory analysis of cortical thickness in low- and high-fit young adults","year":2023,"lang":"en","type":"article","venue":"Neuroreport","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Orbitofrontal cortex; Cardiorespiratory fitness; Anterior cingulate cortex; Cortex (anatomy); Psychology; Cingulate cortex; Neuroscience; Anatomy; Prefrontal cortex; Medicine; Central nervous system; Internal medicine; Cognition","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":[0.0005261291,0.0001024812,0.000468962,0.0007246142,0.00002450611,0.000009120089,0.00007223127,0.00007945227,0.0001085154],"category_scores_gemma":[0.0009551761,0.00009065062,0.00007541122,0.002182172,0.0001520343,0.00006599344,0.00008503989,0.0003058797,0.00002123211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002104347,"about_ca_system_score_gemma":0.0001176996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001205539,"about_ca_topic_score_gemma":0.0001104249,"domain_scores_codex":[0.9981902,0.00008124825,0.0005503953,0.0003363354,0.0005877871,0.0002539847],"domain_scores_gemma":[0.9989334,0.0002531821,0.0000936251,0.0004545809,0.0001188196,0.0001463938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002973375,0.0001595277,0.9905357,0.0003765356,0.0001909019,0.002625474,0.001145371,0.00002615647,0.002896344,0.0001253855,0.0002855922,0.001335672],"study_design_scores_gemma":[0.0007037692,0.0001323907,0.9941738,0.0001086714,0.0002215911,0.00006706077,0.0004031124,0.003409066,0.0006656745,0.00003488105,0.00001326158,0.00006671166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998531,0.00001615974,0.00001327108,0.0004097353,0.00009936797,0.0002506892,0.000008394984,0.00007547553,0.0005959392],"genre_scores_gemma":[0.9994983,0.00004075496,0.0000574423,0.00009458292,0.0000258134,0.00003503951,0.00003281209,0.00001976605,0.0001955006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003638108,"threshold_uncertainty_score":0.3696625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08021195306624865,"score_gpt":0.3529832895344081,"score_spread":0.2727713364681594,"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."}}