{"id":"W4414434079","doi":"10.2196/73074","title":"Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning–Based Screening","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Handwriting; Reliability (semiconductor); Cognition; Cognitive Assessment System; Disease","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":[0.01280786,0.0008109493,0.0008187029,0.004215652,0.0003636317,0.0009510625,0.0006556932,0.0008015851,0.0004211279],"category_scores_gemma":[0.0325823,0.0002605844,0.0006926437,0.001415983,0.0006090971,0.0005530453,0.0009260088,0.0004299444,0.0002750323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054101,"about_ca_system_score_gemma":0.000417197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456513,"about_ca_topic_score_gemma":0.00184829,"domain_scores_codex":[0.9919028,0.004322071,0.0009292097,0.0009463072,0.001676997,0.0002226377],"domain_scores_gemma":[0.9786603,0.01183046,0.003490153,0.001323559,0.00416246,0.0005331033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008592266,0.0001600502,0.9395609,0.0001601796,0.0005458567,0.0001038819,0.0003185959,0.002095383,0.001708847,0.0001025457,0.0003089422,0.05407561],"study_design_scores_gemma":[0.00005080242,0.001440982,0.9734743,0.00008405904,0.0003049024,0.0007709959,0.0002383078,0.02112033,0.001400876,0.0005146881,0.0005630085,0.00003668403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814849,0.002440817,0.01378928,0.00009066712,0.00004441615,0.0002107997,0.0004045118,0.0001348521,0.001399781],"genre_scores_gemma":[0.9954244,0.0002498516,0.003730627,0.00001925469,0.00003797313,0.0001007709,0.0003003328,0.000008650008,0.0001280197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01280786,"threshold_uncertainty_score":0.06773525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185772495409815,"score_gpt":0.3722153706344407,"score_spread":0.3503576456803425,"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."}}