{"id":"W4293446394","doi":"10.21203/rs.3.rs-1964110/v1","title":"Higher performance for women than men in MRI-based Alzheimer’s disease detection","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Deutsche Forschungsgemeinschaft; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; National Alliance for Research on Schizophrenia and Depression; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Cohort; Classifier (UML); Disease; Artificial intelligence; Medicine; Confounding; Psychology; Computer science; Machine learning; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005373271,0.0007664667,0.0005242617,0.0006666792,0.0004138474,0.001117892,0.0004863243,0.0009248291,0.004772053],"category_scores_gemma":[0.0104291,0.0001984616,0.000572495,0.0002892554,0.0003333264,0.000706551,0.0005119328,0.0005101184,0.002401587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003938304,"about_ca_system_score_gemma":0.0004848132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893263,"about_ca_topic_score_gemma":0.003171945,"domain_scores_codex":[0.9985298,0.0004123877,0.00009345279,0.0005965609,0.000222339,0.0001454169],"domain_scores_gemma":[0.9964362,0.001869809,0.000425766,0.0004641025,0.0006189145,0.0001853232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002450286,0.0001924476,0.6925182,0.0002536617,0.0005850362,0.0002903484,0.0004263342,0.003039626,0.02111348,0.0005714953,0.005900246,0.2726588],"study_design_scores_gemma":[0.0001058333,0.001693188,0.8827692,0.0002725683,0.0008115045,0.002412674,0.0006359605,0.05466587,0.0403338,0.003802569,0.0123878,0.0001091235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958448,0.00430376,0.0246259,0.001443517,0.0003018285,0.00007814227,0.002049715,0.0006979016,0.008051183],"genre_scores_gemma":[0.9895256,0.0004600933,0.006796095,0.0002436614,0.0001026396,0.00002236126,0.0009297021,0.00005650408,0.00186325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005373271,"threshold_uncertainty_score":0.02841693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1455039906822533,"score_gpt":0.3922765096449511,"score_spread":0.2467725189626978,"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."}}