{"id":"W4411462690","doi":"10.3389/fragi.2025.1592464","title":"Gait analysis in older adults with mild cognitive impairment: a bibliometric analysis of global trends, hotspots, and emerging frontiers","year":2025,"lang":"en","type":"article","venue":"Frontiers in Aging","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Guangzhou University; Guangzhou University of Chinese Medicine","keywords":"Cognitive impairment; Physical medicine and rehabilitation; Cognition; Gait analysis; Gerontology; Gait; Geography; Psychology; Medicine; Neuroscience","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":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0008644785,0.0002560464,0.001047879,0.07891148,0.0001864196,0.00001888088,0.0001814479,0.0001865543,0.00001924942],"category_scores_gemma":[0.00005937229,0.0002428181,0.0002204133,0.2412606,0.00009954786,0.0002381497,0.0001017594,0.0004088629,6.545248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816509,"about_ca_system_score_gemma":0.0001094329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909205,"about_ca_topic_score_gemma":0.003019712,"domain_scores_codex":[0.9971989,0.0004333771,0.00080746,0.0006115289,0.0003188984,0.000629831],"domain_scores_gemma":[0.9989908,0.000107948,0.0003990738,0.0002620606,0.0001365832,0.0001034885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003683908,0.0002742738,0.960346,0.0001927288,0.003157756,0.000009751318,0.002663872,0.00005382805,0.000001856812,0.00002053873,0.002299802,0.03061119],"study_design_scores_gemma":[0.004332703,0.00002943418,0.9510102,0.001077613,0.003294785,1.106355e-7,0.01954482,0.02038675,5.335187e-7,0.00008537279,0.00003035962,0.0002072984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604578,0.007335443,0.02927261,0.0001796094,0.0003993772,0.0004876234,0.0001218265,0.00003956637,0.001706123],"genre_scores_gemma":[0.9946293,0.001017896,0.003544149,0.0001749978,0.0000188799,0.00008925062,0.0001437744,0.00001236534,0.0003693675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1623491,"threshold_uncertainty_score":0.9901834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008678596761019404,"score_gpt":0.3254573404305517,"score_spread":0.3167787436695323,"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."}}