{"id":"W2037907885","doi":"10.1016/j.gaitpost.2009.08.245","title":"Implications of using hierarchical and six degree-of-freedom models for normal gait analyses","year":2009,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"National Institute for Occupational Safety and Health; Shriners Hospitals for Children","keywords":"Sagittal plane; Coronal plane; Gait; Transverse plane; Kinematics; Gait analysis; Ground reaction force; Mathematics; Inverse dynamics; Motion capture; Computer science; Physical medicine and rehabilitation; Medicine; Anatomy; Artificial intelligence; Motion (physics); Physics","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":[0.01917433,0.001191344,0.001930716,0.0009630003,0.001441856,0.00269607,0.003522922,0.001591826,0.003663994],"category_scores_gemma":[0.07707781,0.001111368,0.002017699,0.001246446,0.001578325,0.003156568,0.002065028,0.00259788,0.001066389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138533,"about_ca_system_score_gemma":0.003676666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03217856,"about_ca_topic_score_gemma":0.0311306,"domain_scores_codex":[0.9864676,0.009393801,0.0008543843,0.001305407,0.001378401,0.0006004901],"domain_scores_gemma":[0.9560771,0.03345848,0.001590322,0.004795913,0.003360787,0.0007173549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009675352,0.0006117376,0.0277027,0.0002531717,0.0008016702,0.0002733046,0.0009741153,0.8245317,0.001455536,0.06478634,0.002759881,0.07488226],"study_design_scores_gemma":[0.00006203777,0.0001083465,0.004015829,0.00004787196,0.00006370786,0.00006454686,0.0001251588,0.9535126,0.0002656278,0.04094846,0.0007413166,0.00004438988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1041381,0.0003760364,0.8878711,0.001381604,0.000352274,0.0003273561,0.0007618075,0.0007497276,0.004042023],"genre_scores_gemma":[0.7946702,0.0002874101,0.2007117,0.0004175515,0.0001120912,0.0004461382,0.0009309064,0.0002267335,0.002197336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03217856,"threshold_uncertainty_score":0.1014047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07971936032229654,"score_gpt":0.3510199005496366,"score_spread":0.2713005402273401,"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."}}