{"id":"W4409210680","doi":"10.3390/s25072310","title":"Smartphone-Based Analysis for Early Detection of Aging Impact on Gait and Stair Negotiation: A Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Negotiation; Gait; Gait analysis; Cross-sectional study; Engineering; Physical medicine and rehabilitation; Psychology; Computer science; Applied psychology; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009302013,0.0004165517,0.0003742776,0.0006617652,0.0003684585,0.0006052416,0.0002173821,0.0005926673,0.0009021861],"category_scores_gemma":[0.002058186,0.0003319153,0.0005461021,0.0004902534,0.000152829,0.0004902275,0.0004338146,0.000388462,0.0004504231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457359,"about_ca_system_score_gemma":0.0002098945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003288874,"about_ca_topic_score_gemma":0.006377649,"domain_scores_codex":[0.9996345,0.0001091712,0.00004580126,0.00008614281,0.00007443132,0.00004994024],"domain_scores_gemma":[0.9990159,0.0001567831,0.0002685848,0.00009411899,0.0003267591,0.0001378719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002359167,0.0002113338,0.9960784,0.00002906706,0.0001300529,0.00005131519,0.0001725029,0.00002419041,0.0006257683,0.00001115456,0.00008543651,0.002344774],"study_design_scores_gemma":[0.000008263371,0.0005590037,0.998607,0.000008113612,0.00006215161,0.0001338795,0.0002234514,0.0001633475,0.00008299959,0.00001020522,0.0001378836,0.000003788449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989401,0.0002143319,0.0002559347,0.00001222637,0.000007474756,0.00003400479,0.0002763079,0.000003336147,0.0002562556],"genre_scores_gemma":[0.998717,0.0001489843,0.0004278118,0.00003644046,0.00001233135,0.00005119729,0.0003242274,0.000002148826,0.0002798418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003288874,"threshold_uncertainty_score":0.006539464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590845128492987,"score_gpt":0.3962859151096517,"score_spread":0.3703774638247218,"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."}}