{"id":"W2144045653","doi":"10.1109/tnsre.2003.810428","title":"Continuous curve registration as an intertrial gait variability reduction technique","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Gait; Sagittal plane; Standard deviation; Gait analysis; Mathematics; Normalization (sociology); Angular displacement; Geodesy; Physical medicine and rehabilitation; Statistics; Medicine; Geometry; Geology; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001589459,0.0002108012,0.0002922976,0.0001781597,0.0004128891,0.00003428252,0.00006094986,0.0002943614,0.00001435877],"category_scores_gemma":[0.000167616,0.0002001332,0.00008470166,0.0002293688,0.00005514483,0.000458709,8.706196e-7,0.000555891,0.00001240326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876749,"about_ca_system_score_gemma":0.00005582036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002984488,"about_ca_topic_score_gemma":0.00002183135,"domain_scores_codex":[0.9974326,0.0009501968,0.0007174748,0.000422737,0.0001963926,0.0002806014],"domain_scores_gemma":[0.9986962,0.0005008326,0.0001872798,0.0003069364,0.0001724535,0.0001362661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009964441,0.002545402,0.001346376,0.004657275,0.0002181062,0.000007589034,0.01064371,0.03757539,0.8898011,0.04160326,0.0005313949,0.01007391],"study_design_scores_gemma":[0.04006167,0.03163243,0.1559433,0.01365953,0.001380497,0.001537625,0.06882851,0.6008425,0.006941871,0.01676568,0.05211408,0.01029231],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6495255,0.00003208152,0.3431787,0.0001274542,0.004060877,0.002137669,0.00001869181,0.0003206365,0.0005983408],"genre_scores_gemma":[0.997184,0.00001972118,0.001236535,0.00001413818,0.0001822426,0.0008113647,0.00001053851,0.00003138938,0.0005101051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8828593,"threshold_uncertainty_score":0.8161194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413061089923941,"score_gpt":0.3013595021898861,"score_spread":0.2872288912906467,"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."}}