{"id":"W7162134251","doi":"10.2196/90646","title":"Remote Clinical Neuropsychological Assessment Using Portable Automated Rapid Testing (PART): Validation in a Healthy Older Adult Population (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Neuropsychological assessment; Neuropsychology; Test (biology); Quality of life (healthcare); MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003697228,0.0008362532,0.0004311068,0.0006526426,0.0005646303,0.0007440406,0.0005300991,0.0007473888,0.002145968],"category_scores_gemma":[0.007254284,0.0002373382,0.0004351325,0.0003775398,0.0006533611,0.000712825,0.0006639801,0.0005154189,0.001304323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000246369,"about_ca_system_score_gemma":0.0004617559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004210879,"about_ca_topic_score_gemma":0.004984251,"domain_scores_codex":[0.9988243,0.0005267182,0.00008343306,0.0002634634,0.000230514,0.00007149092],"domain_scores_gemma":[0.9976946,0.0007179636,0.0002294912,0.0003206083,0.0008707163,0.000166639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007545521,0.007171164,0.8480213,0.0003098435,0.00038816,0.0007067513,0.004310504,0.0006619267,0.01622039,0.0001931972,0.003296388,0.111175],"study_design_scores_gemma":[0.000705394,0.01104957,0.9806779,0.00004516431,0.0001799852,0.000952445,0.001249602,0.001432295,0.002058847,0.0002080082,0.001400232,0.00004049526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966344,0.00008780356,0.001504465,0.00004065957,0.00003873837,0.0002939297,0.0003442299,0.00004383052,0.001011994],"genre_scores_gemma":[0.9928647,0.000169408,0.003650758,0.0001813272,0.00007365771,0.0003920296,0.001119245,0.00002545145,0.001523402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004210879,"threshold_uncertainty_score":0.01955307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1554686055734705,"score_gpt":0.5480206039641586,"score_spread":0.3925519983906881,"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."}}