{"id":"W4385545464","doi":"10.58530/2022/3640","title":"Correlation between Iron Burden and Cognitive Status in Type 2 Diabetes Mellitus Patients Using Quantitative Susceptibility Mapping","year":2023,"lang":"en","type":"article","venue":"Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Correlation; Type 2 Diabetes Mellitus; Cognition; Diabetes mellitus; Positive correlation; Montreal Cognitive Assessment; Internal medicine; Negative correlation; Cognitive impairment; Medicine; Endocrinology; Psychology; Psychiatry; Mathematics","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01029576,0.0005137721,0.0008091002,0.00065822,0.001572094,0.0002124264,0.0005272625,0.0004287669,0.00004540637],"category_scores_gemma":[0.0096551,0.0004484454,0.0002483206,0.002120962,0.002425506,0.0006012695,0.0003480007,0.0009174424,0.000003501549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008426508,"about_ca_system_score_gemma":0.0003040729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498484,"about_ca_topic_score_gemma":0.0004131576,"domain_scores_codex":[0.9929681,0.00006406732,0.002256156,0.001739578,0.001827945,0.001144097],"domain_scores_gemma":[0.9924121,0.002963402,0.001186668,0.0001707003,0.003040385,0.0002267605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006254906,0.0001760772,0.8289397,0.002744682,0.00004802318,9.254317e-7,0.09067219,0.0002063986,0.02502198,0.003564128,0.01773121,0.03026921],"study_design_scores_gemma":[0.006529649,0.001327582,0.5084068,0.03595601,0.0001682882,0.000003539403,0.1762439,0.230543,0.000425702,0.02082823,0.01859559,0.0009716625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827064,0.004705384,0.00001447223,0.00560273,0.002926183,0.002794232,0.0002390694,0.00007169556,0.0009398686],"genre_scores_gemma":[0.9926946,0.0016506,0.002503614,0.0003892638,0.0008328322,0.0004620661,0.0003326954,0.00006037929,0.001073999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3205329,"threshold_uncertainty_score":0.9997967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07363715060381258,"score_gpt":0.3687555073236115,"score_spread":0.2951183567197989,"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."}}