{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107753,0.0001764285,0.0002916122,0.0004087517,0.0001995761,0.00007484871,0.00005398895,0.00005821486,0.0002010347],"category_scores_gemma":[0.000160981,0.0001665476,0.00007112583,0.0004696603,0.0001043985,0.0001143961,0.0001380622,0.0006397641,0.000003549291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339235,"about_ca_system_score_gemma":0.0001577685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001320052,"about_ca_topic_score_gemma":0.00001560952,"domain_scores_codex":[0.9982663,0.0002081738,0.0003062151,0.0004435947,0.0003372525,0.0004384553],"domain_scores_gemma":[0.9992157,0.0003431467,0.00005645087,0.0001218935,0.0001460439,0.0001167418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002461655,0.0003043005,0.969359,0.0003700268,0.00003846764,0.00006911366,0.0001291046,0.00001323996,0.000393081,0.00002032457,0.00003464791,0.02902253],"study_design_scores_gemma":[0.006368736,0.0003096637,0.9600173,0.002070406,0.00005910183,0.000005123333,0.001020578,0.02791086,0.001750448,0.00005392709,0.0002950872,0.0001387421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783394,0.0003381218,0.007260068,0.001931031,0.00002640542,0.001208485,0.00000572003,0.00008864338,0.0108021],"genre_scores_gemma":[0.996987,0.00002754025,0.001080765,0.0007102916,0.00002802228,0.0002142554,0.00005814355,0.00001571329,0.0008782718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02888379,"threshold_uncertainty_score":0.6791614,"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."}}