{"id":"W3041172827","doi":"10.1177/0300060520936881","title":"Mild cognitive impairment, dementia, and cognitive dysfunction screening using machine learning","year":2020,"lang":"en","type":"article","venue":"Journal of International Medical Research","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Medicine; Cognition; Neuropsychology; Kappa; Receiver operating characteristic; Cohen's kappa; Cognitive impairment; Montreal Cognitive Assessment; Clinical psychology; Machine learning; Psychiatry; Internal medicine; Computer science; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003567512,0.0001500442,0.0003226286,0.0005688578,0.0002121936,0.0001026446,0.0001917058,0.0001157602,0.003407117],"category_scores_gemma":[0.0112042,0.0001208308,0.0001436318,0.000440275,0.0003531727,0.0003037695,0.0003163333,0.002021805,0.00002372173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009077912,"about_ca_system_score_gemma":0.0005080174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006823467,"about_ca_topic_score_gemma":0.000005133193,"domain_scores_codex":[0.9938011,0.0004918029,0.0005967887,0.0002785092,0.004398681,0.0004331884],"domain_scores_gemma":[0.9947326,0.001114378,0.0002143622,0.00003936184,0.002880329,0.001019008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008168556,0.0006088758,0.891755,0.0001516732,0.00265297,0.001788198,0.0006678633,0.00000413574,0.003318624,0.00005392858,0.0005536379,0.09027651],"study_design_scores_gemma":[0.04791683,0.02112466,0.6957443,0.009488789,0.001583785,0.004124765,0.0153563,0.1752892,0.01683132,0.0002907852,0.01159459,0.0006547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596262,0.001882416,0.02518928,0.01083989,0.0001579575,0.0003840513,0.00001258635,0.00001460551,0.001893034],"genre_scores_gemma":[0.9960099,0.001072063,0.0006270757,0.001111664,0.0009095873,0.000007556078,0.00002855962,0.00002401462,0.0002096179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1960107,"threshold_uncertainty_score":0.9975039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09346019124265421,"score_gpt":0.4312330658531173,"score_spread":0.3377728746104631,"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."}}