{"id":"W3153920363","doi":"","title":"Understanding Cognitive Function In Older Adults With Type 2 Diabetes Mellitus via Environmental Stress in the Functional Magnetic Resonance Imaging Environment and Metabolic Stress Associated with Glucose Ingestion","year":2011,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Magnetic resonance imaging; Type 2 Diabetes Mellitus; Diabetes mellitus; Medicine; Stress (linguistics); Functional magnetic resonance imaging; Ingestion; Cognition; Environmental stress; Type 2 diabetes; Internal medicine; Endocrinology; Psychiatry; Biology; Radiology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002984425,0.0003314689,0.0003214025,0.0002918296,0.0001104059,0.00004281065,0.00005871329,0.0001245548,0.0004089899],"category_scores_gemma":[0.00003150737,0.0002393329,0.00002985806,0.000264509,0.0001500444,0.0001371201,0.00002190451,0.0005510497,0.000007333121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002116755,"about_ca_system_score_gemma":0.00006403184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000135051,"about_ca_topic_score_gemma":0.0009301684,"domain_scores_codex":[0.9979187,0.0002203018,0.0002159604,0.000523113,0.0007098792,0.0004120737],"domain_scores_gemma":[0.9994326,0.0001562976,0.000155498,0.0001356765,0.00004064594,0.00007925749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006056116,0.0009911705,0.9620391,0.0001580391,0.0001179672,0.000100606,0.007252434,0.000004628661,0.0003397284,0.00001707869,0.000008114098,0.02291507],"study_design_scores_gemma":[0.004651444,0.0009894519,0.9513738,0.002603389,0.000503188,0.000006113403,0.03769645,0.0002149037,0.001657073,0.0000314299,0.00001725233,0.0002555346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783771,0.01934876,0.00008829791,0.00004348032,0.00005262469,0.001323974,0.00002689458,0.00001644964,0.0007224428],"genre_scores_gemma":[0.9946389,0.001845434,0.00001174436,0.00005520701,0.00003480659,0.0002211616,0.002370007,0.00004610207,0.000776673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03044402,"threshold_uncertainty_score":0.9759712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670397536256707,"score_gpt":0.2499307705898732,"score_spread":0.2332267952273061,"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."}}