{"id":"W4410391250","doi":"10.2196/66886","title":"Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Motion capture; Gait; Kinematics; Stairs; Context (archaeology); Reliability (semiconductor); Ankle; Motion analysis; Motion (physics); Computer science; Descent (aeronautics); Physical medicine and rehabilitation; Artificial intelligence; Medicine; Engineering; Surgery; Structural engineering; Geology","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":[0.00470819,0.0006990617,0.0005252805,0.0006103413,0.0002759024,0.0004599995,0.0005218944,0.0006159366,0.0005552208],"category_scores_gemma":[0.009901718,0.0002885627,0.0007749294,0.0004389238,0.000514453,0.0003518217,0.0006691783,0.0003199741,0.0004604628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663319,"about_ca_system_score_gemma":0.0002487532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006557751,"about_ca_topic_score_gemma":0.001281732,"domain_scores_codex":[0.9963695,0.001319875,0.0004045208,0.0009635859,0.0008349585,0.0001074853],"domain_scores_gemma":[0.9901674,0.002743255,0.001501404,0.00201096,0.003283973,0.0002929404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006047022,0.001866856,0.7965387,0.0006032964,0.002169883,0.0002006722,0.003856444,0.004174698,0.1142818,0.0002096587,0.0006369656,0.0694142],"study_design_scores_gemma":[0.0001828003,0.007486509,0.9720671,0.00003986209,0.000448141,0.0004564712,0.0003458239,0.006354045,0.01147296,0.0001107799,0.0009885387,0.00004702106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863029,0.0002565286,0.01234736,0.000009252374,0.00003006275,0.0002469789,0.0002184234,0.00007904739,0.00050945],"genre_scores_gemma":[0.9906476,0.00009426033,0.00805703,0.0000263367,0.00001939842,0.0003142358,0.0005340117,0.00003240805,0.0002746851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00470819,"threshold_uncertainty_score":0.02489954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021946997968774,"score_gpt":0.3288032993439749,"score_spread":0.3185838293642871,"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."}}