{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001227956,0.0007373921,0.0005859059,0.001055961,0.0002642056,0.000522818,0.001120782,0.0007136525,0.002896167],"category_scores_gemma":[0.001657507,0.0002303466,0.0003486113,0.0003716197,0.0002865558,0.0005234617,0.0006994208,0.0004274707,0.0009710699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170022,"about_ca_system_score_gemma":0.0009126568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069152,"about_ca_topic_score_gemma":0.007118089,"domain_scores_codex":[0.9995035,0.00006407853,0.00006087704,0.0001599877,0.000155058,0.00005654],"domain_scores_gemma":[0.9994407,0.0001282892,0.00004694435,0.0000561598,0.0002808703,0.00004706534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003085095,0.002557777,0.05956666,0.0008597047,0.0005048859,0.001502281,0.0002683393,0.04007312,0.1000952,0.0008200969,0.01401709,0.7766497],"study_design_scores_gemma":[0.0003654795,0.002225051,0.07045826,0.0001201011,0.0003211515,0.001457283,0.0001287508,0.8369832,0.08128717,0.00057983,0.005942232,0.0001315838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7498111,0.001277421,0.2173073,0.0003802601,0.0004810994,0.002922911,0.003668148,0.01944799,0.004703855],"genre_scores_gemma":[0.8878424,0.0002881367,0.1035365,0.0002442804,0.00003526043,0.001138634,0.003646991,0.00006020982,0.003207572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069152,"threshold_uncertainty_score":0.02125859,"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."}}