{"id":"W6982308868","doi":"","title":"Identification of earlier biomarkers for Alzheimer’s disease: a neuroimaging study of individuals with subjective cognitive decline","year":2019,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Alzheimer's Disease Neuroimaging Initiative; U.S. Department of Defense","keywords":"Precuneus; Neuroimaging; Cognitive decline; Default mode network; Cognition; Neuropsychology; Grey matter; Brain Structure and Function; Posterior cingulate; Hippocampal formation","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":[0.0005532056,0.0003753114,0.0003366409,0.0009958569,0.0007815034,0.0006141054,0.0002817484,0.0005241128,0.001056702],"category_scores_gemma":[0.001303658,0.0002459168,0.0002087069,0.0005708726,0.0003907741,0.0005565168,0.0004659556,0.000427313,0.0002215437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002340901,"about_ca_system_score_gemma":0.0001992832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003887786,"about_ca_topic_score_gemma":0.006292862,"domain_scores_codex":[0.9998393,0.00003493656,0.00002073641,0.00005207354,0.00003042981,0.00002251955],"domain_scores_gemma":[0.9994994,0.00007548243,0.0001833397,0.00003893366,0.0000893978,0.0001133417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005047008,0.0003906392,0.9924155,0.00002755149,0.00005222539,0.0006432296,0.0009375489,0.00002769269,0.002282484,0.00002590525,0.00007726654,0.0026152],"study_design_scores_gemma":[0.00001264098,0.0002528437,0.9985284,0.000003785208,0.00001608311,0.0005972199,0.0003200981,0.00005005673,0.000100007,0.00002240074,0.00009382388,0.000002710843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996892,0.00008276245,0.0000316575,0.00001134872,0.000001983008,0.000008394443,0.00003729542,7.301239e-7,0.0001365358],"genre_scores_gemma":[0.9995487,0.00005721447,0.000101394,0.00002816062,0.000008791695,0.00001083365,0.0001105605,8.93359e-7,0.0001332876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003887786,"threshold_uncertainty_score":0.007730305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139453757751898,"score_gpt":0.3212740358160046,"score_spread":0.2898794982384856,"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."}}