{"id":"W1517768170","doi":"10.3389/fnhum.2015.00318","title":"Gray Matter Volume Changes in the Apathetic Elderly","year":2015,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council for Science, Technology and Innovation; Japan Society for the Promotion of Science; Nanchang University; York University; Cabinet Office, Government of Japan; School of Medicine, New York University","keywords":"Apathy; Basal ganglia; Psychology; Voxel-based morphometry; Gray (unit); Putamen; Superior frontal gyrus; Grey matter; Voxel; Middle frontal gyrus; Audiology; Inferior frontal gyrus; Neuroscience; White matter; Medicine; Magnetic resonance imaging; Nuclear medicine; Central nervous system; Functional magnetic resonance imaging; Cognition; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001819168,0.0002229453,0.0002498454,0.0009619339,0.0002301723,0.0003254231,0.0001447779,0.0001889876,0.00104914],"category_scores_gemma":[0.0006466746,0.0001099397,0.000132731,0.0003998835,0.0002673403,0.0002095927,0.0002300753,0.0001075004,0.0001182879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241666,"about_ca_system_score_gemma":0.00007120345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211922,"about_ca_topic_score_gemma":0.001843768,"domain_scores_codex":[0.9999232,0.00001096466,0.00001157912,0.0000276207,0.00001735777,0.000009176583],"domain_scores_gemma":[0.9997836,0.00003321659,0.0001030924,0.00002797054,0.00002355852,0.00002855432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001505021,0.0002143938,0.9117094,0.0001379663,0.0002975479,0.002266231,0.001164399,0.0002241168,0.05848034,0.0001831642,0.0001886214,0.02362882],"study_design_scores_gemma":[0.0000152266,0.0002111728,0.9972457,0.000002841178,0.00002784414,0.001324774,0.0001696281,0.00009636238,0.0006261829,0.0001612034,0.0001160621,0.000002989325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994859,0.0001325607,0.00007959867,0.000005672822,0.000001298051,0.000006245814,0.00009230403,0.000002442381,0.0001939334],"genre_scores_gemma":[0.9994498,0.00008400636,0.000171701,0.00001265943,0.000004158194,0.000008307625,0.0001229574,0.000001117111,0.0001453787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001211922,"threshold_uncertainty_score":0.0035097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05559877440612405,"score_gpt":0.2692811829068672,"score_spread":0.2136824085007432,"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."}}