{"id":"W4405521019","doi":"10.2196/63928","title":"Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Cross-sectional study; Wearable computer; Association (psychology); Gait; Physical medicine and rehabilitation; Psychology; Medicine; Computer science; World Wide Web; Embedded system","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":[0.0009656073,0.0005253049,0.0004390297,0.0006496998,0.0003999803,0.0004820348,0.0002704487,0.0004844573,0.0007424187],"category_scores_gemma":[0.0009788703,0.0005379646,0.0005500485,0.0008634054,0.0001982351,0.0005292436,0.0003944991,0.0004953865,0.0002801933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849106,"about_ca_system_score_gemma":0.0002622373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003223331,"about_ca_topic_score_gemma":0.005241772,"domain_scores_codex":[0.9995951,0.00008883284,0.00008470711,0.0001192199,0.00006613765,0.00004597599],"domain_scores_gemma":[0.9991473,0.00007666383,0.0003311263,0.00009298023,0.0002285701,0.0001233253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009261001,0.00012312,0.9980002,0.00002499899,0.0001101175,0.00003403334,0.00008752166,0.00001584859,0.0004325946,0.000003460964,0.0000452783,0.001030079],"study_design_scores_gemma":[0.00001028062,0.0003045271,0.9989942,0.000008037571,0.0000689295,0.0001432488,0.0002217682,0.0000734766,0.00005531377,0.000004010655,0.0001129378,0.000003349909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991674,0.0002357792,0.0001748265,0.00001103619,0.000004813194,0.00002581166,0.0002505397,0.000002930021,0.000126995],"genre_scores_gemma":[0.9985206,0.000220808,0.0004636614,0.00005934294,0.000008229579,0.00005134171,0.0004795248,0.000002254636,0.000194213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003223331,"threshold_uncertainty_score":0.006409109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551529595132766,"score_gpt":0.443316810589868,"score_spread":0.3978015146385404,"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."}}