{"id":"W2523438893","doi":"10.1016/j.gaitpost.2016.09.021","title":"Validation of a commercial inertial sensor system for spatiotemporal gait measurements in children","year":2016,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Toronto Rehabilitation Institute; University of Saskatchewan","funders":"Spina Bifida and Hydrocephalus Canada","keywords":"STRIDE; Gait; Gait analysis; Effect of gait parameters on energetic cost; Physical medicine and rehabilitation; Inertial measurement unit; Motion capture; Population; Inertial frame of reference; Accelerometer; Motion (physics); Computer science; Simulation; Artificial intelligence; Medicine; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002032578,0.0007429149,0.0005261816,0.000826471,0.0003298196,0.0005880526,0.00115934,0.001165068,0.002132216],"category_scores_gemma":[0.003672886,0.0002957986,0.0003801814,0.0006503325,0.0004472775,0.0006303441,0.0006763477,0.0002706365,0.001095822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005011518,"about_ca_system_score_gemma":0.0009052723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004729085,"about_ca_topic_score_gemma":0.006579806,"domain_scores_codex":[0.9980301,0.0004515944,0.0002170401,0.0004198236,0.0007777592,0.0001036868],"domain_scores_gemma":[0.9975922,0.0005144962,0.0001764584,0.0002067605,0.001417091,0.00009303476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00318393,0.001516045,0.2721004,0.00121844,0.0005142465,0.0008601756,0.001328948,0.006225301,0.4222905,0.001381064,0.00682403,0.282557],"study_design_scores_gemma":[0.0008496279,0.00981922,0.6339052,0.000315468,0.000906141,0.004126107,0.001335076,0.09356888,0.2364651,0.0005489582,0.01798499,0.000175325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8777533,0.0004699253,0.113151,0.0002944149,0.0003069409,0.000553026,0.002958198,0.001494351,0.003018926],"genre_scores_gemma":[0.9366116,0.0002241959,0.05805411,0.0002487993,0.00003964645,0.0005230479,0.002322716,0.0001028119,0.001873107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004729085,"threshold_uncertainty_score":0.0107494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511986312792048,"score_gpt":0.2693866412070602,"score_spread":0.2442667780791398,"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."}}