{"id":"W2423712451","doi":"10.18632/oncotarget.10091","title":"White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study","year":2016,"lang":"en","type":"article","venue":"Oncotarget","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diffusion MRI; White matter; Fractional anisotropy; Medicine; Beijing; Cognitive decline; Neurology; Montreal Cognitive Assessment; China; Cognitive impairment; Disease; Internal medicine; Dementia; Psychiatry; Magnetic resonance imaging; Radiology","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":[0.0001099786,0.0001259567,0.000175328,0.0001184605,0.00005835134,0.00001100979,0.00005309039,0.00002506772,0.0001430693],"category_scores_gemma":[0.00006309069,0.00008582179,0.00003768542,0.0001808134,0.00004028989,0.0001156041,0.00006906175,0.0001092006,0.0001023996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008494146,"about_ca_system_score_gemma":0.0000267924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002110545,"about_ca_topic_score_gemma":0.00002806723,"domain_scores_codex":[0.9990855,0.00004273174,0.0002103841,0.0003367403,0.0001423782,0.0001822849],"domain_scores_gemma":[0.9994906,0.00007236449,0.00006495616,0.0002039129,0.0001085448,0.00005958407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009657341,0.0004172647,0.9866538,0.00000368384,0.000003320559,0.00003103145,0.0001724402,3.815461e-7,0.01080798,0.00001833342,0.000471415,0.001323767],"study_design_scores_gemma":[0.001814053,0.0001211406,0.994343,0.00009887738,0.00002530861,0.00002335999,0.0001681604,0.0001049301,0.001933781,0.0005027882,0.0007490171,0.0001155728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719994,0.00002472956,0.02002228,0.005689012,0.00003113589,0.0008863676,0.00001461614,0.0001084999,0.001223958],"genre_scores_gemma":[0.9932662,0.00001842609,0.003845546,0.001522657,0.00008811448,0.0002148659,0.00001482167,0.00002858687,0.001000784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0212668,"threshold_uncertainty_score":0.3499711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035401002612908,"score_gpt":0.348167083225348,"score_spread":0.3178130731992189,"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."}}