{"id":"W2604665055","doi":"","title":"Evaluation of a Gait Assessment Module Using 3D Motion Capture Technology.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber Polytechnic","funders":"","keywords":"Gait; Massage; Session (web analytics); Physical therapy; Physical medicine and rehabilitation; Interactivity; Motion (physics); Motion capture; Psychology; Gait analysis; Class (philosophy); Medicine; Computer science; Multimedia; Artificial intelligence; Alternative medicine","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":[0.00292982,0.0007599837,0.0004914564,0.001096475,0.0002387007,0.0003160811,0.000595141,0.0004668799,0.003261274],"category_scores_gemma":[0.00529915,0.0003393776,0.0006904649,0.0003012622,0.0001663272,0.0004478278,0.0005613104,0.0003985967,0.0006296419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004856143,"about_ca_system_score_gemma":0.0007271525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001528282,"about_ca_topic_score_gemma":0.002730986,"domain_scores_codex":[0.9983178,0.0006544383,0.0001431566,0.0001759329,0.0005826954,0.0001259733],"domain_scores_gemma":[0.9972969,0.0007919181,0.0004397873,0.0001191945,0.0009218434,0.0004304516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01479283,0.08386321,0.2184524,0.001462235,0.0006821263,0.0002743363,0.002435209,0.003309782,0.06898628,0.0002009892,0.004258907,0.6012816],"study_design_scores_gemma":[0.002049799,0.1221384,0.8402484,0.0001437038,0.0003231915,0.0004123527,0.0005498855,0.008608291,0.02211051,0.00007413235,0.003258712,0.00008267111],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896461,0.00009485563,0.004726164,0.00005478808,0.00002915103,0.003488075,0.0006405666,0.000154892,0.001165359],"genre_scores_gemma":[0.9691002,0.0001831178,0.02225709,0.0001084811,0.00003168565,0.004735984,0.001154832,0.00002018818,0.002408504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003261274,"threshold_uncertainty_score":0.01549459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060326312564374,"score_gpt":0.2864803897689887,"score_spread":0.245877126643345,"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."}}