{"id":"W4389912612","doi":"10.3390/diagnostics13243679","title":"Whole Brain and Corpus Callosum Fractional Anisotropy Differences in Patients with Cognitive Impairment","year":2023,"lang":"en","type":"article","venue":"Diagnostics","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fractional anisotropy; Corpus callosum; Diffusion MRI; Cognitive impairment; Percentile rank; Normative; Psychology; Percentile; Montreal Cognitive Assessment; Cognition; Population; Medicine; Audiology; Magnetic resonance imaging; Internal medicine; Psychiatry; Radiology; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002571805,0.00007637464,0.0001089339,0.00006583585,0.00004460186,0.000008720596,0.00002346674,0.00002454062,0.000007146299],"category_scores_gemma":[0.0002009437,0.00006167305,0.00001026232,0.0001830764,0.00006760711,0.00003287985,0.00003056351,0.0001097245,0.00001358795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064946,"about_ca_system_score_gemma":0.00001998771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001049019,"about_ca_topic_score_gemma":0.000004591182,"domain_scores_codex":[0.9994801,0.000009419306,0.00009064562,0.0001621438,0.0001321903,0.0001254463],"domain_scores_gemma":[0.9993223,0.0004536878,0.00003413889,0.00007470768,0.00005729148,0.00005790676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005196118,0.0002153248,0.9959211,0.00001026937,0.000006007258,0.00002375633,0.00004593106,0.000001436609,0.00002225071,0.0003333963,0.002144675,0.001223934],"study_design_scores_gemma":[0.001151725,0.0004367948,0.9958895,0.0001066145,0.00001725507,0.000002836364,0.00004553834,0.0001960767,0.00007202891,0.0008555684,0.001155374,0.00007069419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946584,0.00001809498,0.002062918,0.002578626,0.00001815816,0.0004151159,0.0000968531,0.0001030508,0.00004876605],"genre_scores_gemma":[0.9977766,0.0001125927,0.00105826,0.0006405797,0.00002151709,0.00009298989,0.0001791722,0.00001240481,0.0001058357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003118231,"threshold_uncertainty_score":0.2514954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263545401581467,"score_gpt":0.3120306757375723,"score_spread":0.2793952217217576,"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."}}