{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001306935,0.0004462139,0.0003386968,0.0005006698,0.000772946,0.000272443,0.0005621015,0.0002082478,0.00006460459],"category_scores_gemma":[0.0005356247,0.0004617473,0.0003572173,0.0005260258,0.00009901662,0.0001739252,0.000470388,0.003367782,0.0002629063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002267835,"about_ca_system_score_gemma":0.002910003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003580209,"about_ca_topic_score_gemma":0.000200782,"domain_scores_codex":[0.9949607,0.0005495718,0.0005764418,0.001097956,0.0007206189,0.002094731],"domain_scores_gemma":[0.9980158,0.0003568897,0.0006121005,0.0003878421,0.0001339241,0.0004935111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02757627,0.003202829,0.02101785,0.0006002907,0.0103484,0.001702035,0.01072164,0.02743296,0.6726791,0.005780093,0.003868908,0.2150697],"study_design_scores_gemma":[0.01088378,0.002283223,0.04636207,0.004822348,0.004973486,0.001105151,0.03258264,0.1775621,0.4631962,0.2481071,0.001172342,0.006949599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647732,0.0008059525,0.02733344,0.002422222,0.003009912,0.001109381,0.0001374027,0.0003507081,0.00005776898],"genre_scores_gemma":[0.9974806,0.0009727224,0.0001158578,0.0005292306,0.0005689859,0.00004687814,0.00002344705,0.0001045511,0.0001577234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.242327,"threshold_uncertainty_score":0.9997834,"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."}}