{"id":"W2995755927","doi":"10.2196/14453","title":"A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Mobile phone; Mobile apps; Gait; Computer science; mHealth; Physical medicine and rehabilitation; Psychology; Human–computer interaction; Medicine; World Wide Web; Psychological intervention; Telecommunications; Nursing","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":[0.002865225,0.0007095098,0.0004585165,0.0007840822,0.0002351616,0.000545346,0.0006800338,0.0006222059,0.001578341],"category_scores_gemma":[0.003651083,0.00023774,0.000503565,0.0002949014,0.0002098635,0.0006591663,0.000651578,0.0003483611,0.0006453829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084651,"about_ca_system_score_gemma":0.000719773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015567,"about_ca_topic_score_gemma":0.001565762,"domain_scores_codex":[0.9992003,0.0002448077,0.0001185864,0.00007724711,0.0002999286,0.00005905764],"domain_scores_gemma":[0.9977505,0.0006113363,0.0001586695,0.00006867554,0.001193097,0.0002177511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006178379,0.01254732,0.08388423,0.005485064,0.0005253319,0.002390069,0.003818086,0.002386701,0.09735904,0.0004812118,0.01471807,0.7702266],"study_design_scores_gemma":[0.00450807,0.07790224,0.7193098,0.002637239,0.002504771,0.009752351,0.003753144,0.04895003,0.07455851,0.0006809446,0.05494003,0.000502952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9666215,0.001339423,0.01859187,0.000174856,0.00007564208,0.00867885,0.001342889,0.00100202,0.002172963],"genre_scores_gemma":[0.8057987,0.003331355,0.1677263,0.0005163511,0.00009088081,0.01261183,0.004688971,0.000203337,0.005032206],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002865225,"threshold_uncertainty_score":0.01515293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07157295886401387,"score_gpt":0.4597989700297871,"score_spread":0.3882260111657733,"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."}}