{"id":"W3084521500","doi":"10.1097/wad.0000000000000406","title":"Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data","year":2020,"lang":"en","type":"article","venue":"Alzheimer Disease & Associated Disorders","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroRx Research (Canada)","funders":"U.S. Department of Defense","keywords":"Dementia; Cognitive decline; Receiver operating characteristic; Entorhinal cortex; Magnetic resonance imaging; Temporal lobe; Neuroimaging; Medicine; Psychology; Internal medicine; Audiology; Cardiology; Hippocampus; Neuroscience; Radiology; Disease; Epilepsy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001457732,0.0005609652,0.0002507401,0.001272834,0.0001325366,0.0005503621,0.0002773421,0.0003262363,0.0005398628],"category_scores_gemma":[0.005504715,0.000131514,0.0003275009,0.0003343815,0.0002457722,0.0003861328,0.000299057,0.0004164443,0.0002370883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779205,"about_ca_system_score_gemma":0.0002587228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004127819,"about_ca_topic_score_gemma":0.005671923,"domain_scores_codex":[0.9997733,0.00006458721,0.00002960322,0.00004780067,0.0000625614,0.00002212625],"domain_scores_gemma":[0.9984036,0.0005196607,0.0006515948,0.0001019415,0.0002101067,0.0001131456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003076971,0.00009012532,0.9871728,0.00002025863,0.00005804456,0.00004841583,0.00004674507,0.001529943,0.0005910191,0.00002727318,0.00011939,0.009988219],"study_design_scores_gemma":[0.00001368576,0.0002634068,0.9859227,0.0000190641,0.00003945592,0.0002073327,0.00005922215,0.01205594,0.001043889,0.0002402286,0.0001243121,0.00001065304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983369,0.0001488032,0.0008602142,0.00002719072,0.000004717403,0.00001867975,0.000253919,0.00002621246,0.0003232875],"genre_scores_gemma":[0.9988958,0.00005322563,0.000602791,0.000009287818,0.000005178306,0.000007668528,0.0003206544,0.000001603819,0.000103819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004127819,"threshold_uncertainty_score":0.008207619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436823557691606,"score_gpt":0.3362842349857142,"score_spread":0.2919159994087982,"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."}}