{"id":"W4377249540","doi":"10.2139/ssrn.4442630","title":"Detecting Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Flair MRI Biomarkers","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre; Toronto Metropolitan University","funders":"","keywords":"Fluid-attenuated inversion recovery; Cognitive impairment; Medicine; Disease; Cognition; Neuroscience; Magnetic resonance imaging; Internal medicine; Psychology; Radiology","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":[0.0004806538,0.0005891843,0.0003658848,0.001894239,0.0002536345,0.001436519,0.0002733381,0.0006015801,0.001400038],"category_scores_gemma":[0.002235178,0.000136785,0.000377044,0.0005356003,0.0002416432,0.0003833672,0.0003696619,0.0003321531,0.0006026541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002275303,"about_ca_system_score_gemma":0.0003693623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004997784,"about_ca_topic_score_gemma":0.004675558,"domain_scores_codex":[0.9998693,0.00001647873,0.0000172528,0.00003463129,0.00002864515,0.00003365657],"domain_scores_gemma":[0.9995,0.0001273493,0.0001246274,0.00004939293,0.0001287817,0.00006976383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002034774,0.0002956839,0.7945931,0.000120832,0.0002637517,0.001892289,0.000199415,0.001405428,0.03050678,0.000467911,0.002940021,0.1652801],"study_design_scores_gemma":[0.00005498911,0.0004150074,0.9442652,0.00007231072,0.0003456585,0.004476063,0.0005854367,0.02171985,0.02180423,0.003647737,0.002570729,0.00004275109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894734,0.0008475112,0.006089826,0.0002372577,0.00006027332,0.00003826768,0.0007100856,0.0002203084,0.002323044],"genre_scores_gemma":[0.9946975,0.0003006511,0.003083826,0.0000693625,0.00004130117,0.000008635533,0.0005782306,0.00001832863,0.00120223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004997784,"threshold_uncertainty_score":0.009937406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06077598419260611,"score_gpt":0.3080080555096517,"score_spread":0.2472320713170456,"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."}}