{"id":"W4221038730","doi":"10.2196/31106","title":"A Digital Screening System for Alzheimer Disease Based on a Neuropsychological Test and a Convolutional Neural Network: System Development and Validation","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Taiwan University; Ministry of Science and Technology, Taiwan","keywords":"Dementia; Neuropsychology; Convolutional neural network; Computer science; Minimum Data Set; Artificial intelligence; Neuropsychological assessment; Test set; Psychology; Machine learning; Disease; Cognition; Medicine; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000541726,0.000137121,0.0001983297,0.00009216122,0.000337288,0.0001036255,0.00007331042,0.00004417057,0.00003435516],"category_scores_gemma":[0.0001768077,0.0001068236,0.00004572289,0.0001398455,0.0001033006,0.0001281046,0.0001446685,0.0002533206,0.000003126138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006176929,"about_ca_system_score_gemma":0.0001778239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.058489e-7,"about_ca_topic_score_gemma":3.996945e-8,"domain_scores_codex":[0.9980492,0.00005107252,0.0003639639,0.0001482588,0.001074162,0.0003133309],"domain_scores_gemma":[0.9988462,0.0003482378,0.00009773733,0.00009803187,0.00008525431,0.0005245291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00858938,0.002060519,0.5904337,0.005893371,0.0004728204,0.0008291753,0.001457852,0.0004987248,0.00001233524,0.002674372,0.01205851,0.3750193],"study_design_scores_gemma":[0.005440942,0.001433301,0.1969434,0.0004431717,0.0001161706,0.0002820011,0.002576043,0.7810329,0.000007771149,0.000003259866,0.01152199,0.0001990416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757766,0.00009541781,0.01781414,0.0018422,0.0001389476,0.002402719,0.0001097833,0.0001828043,0.001637353],"genre_scores_gemma":[0.9966736,8.273354e-7,0.001049398,0.001036034,0.00009621854,0.000738478,0.0003285792,0.00001103286,0.00006586384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7805342,"threshold_uncertainty_score":0.4356142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851821513100925,"score_gpt":0.3198700919156459,"score_spread":0.2813518767846367,"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."}}