{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005281241,0.000242325,0.000164762,0.001007123,0.0001316393,0.0004542496,0.0001456574,0.0002668063,0.0007777057],"category_scores_gemma":[0.001447921,0.0001071638,0.0002036251,0.0006012626,0.000128651,0.0002129623,0.000250573,0.0002547238,0.0001045701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259012,"about_ca_system_score_gemma":0.00009863604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386628,"about_ca_topic_score_gemma":0.001517592,"domain_scores_codex":[0.9998293,0.00006434619,0.00002220189,0.00003443796,0.00003326567,0.0000165149],"domain_scores_gemma":[0.9993553,0.0002075051,0.0002466928,0.00004905887,0.00006832274,0.00007306934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004218497,0.00007648753,0.9925032,0.00001470214,0.0001004128,0.00007534905,0.00007287509,0.0001879363,0.001018607,0.00003154076,0.00008494608,0.005412153],"study_design_scores_gemma":[0.00001246527,0.0001774481,0.9972591,0.000006307951,0.00004356328,0.0003085208,0.0001110033,0.001610188,0.0002409867,0.000104042,0.0001189996,0.000007280251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991481,0.0001619006,0.0002081192,0.00002169955,0.000003171372,0.000004543253,0.00009099254,0.000005078467,0.0003563589],"genre_scores_gemma":[0.9995102,0.00004736924,0.0002100926,0.000007324181,0.000004645363,0.000004630077,0.00008838226,9.00203e-7,0.0001265735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001386628,"threshold_uncertainty_score":0.002793014,"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."}}