{"id":"W4226099297","doi":"10.47611/jsrhs.v10i4.1924","title":"Exoskeleton for Knee Arthritis Patients","year":2021,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Exoskeleton; Software portability; Torque; Sitting; Thigh; Physical medicine and rehabilitation; Wearable computer; Arthritis; Population; Medicine; Bluetooth; Knee Joint; Computer science; Physical therapy; Simulation; Wireless; Surgery; Physics; Telecommunications; Embedded system","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":[0.0001986392,0.0003813968,0.0003637468,0.000302496,0.0003462803,0.0004857085,0.0002459271,0.0005537099,0.02257905],"category_scores_gemma":[0.0004951037,0.00008682674,0.0005404179,0.0001581228,0.0001081931,0.0003935394,0.00059765,0.0003052235,0.004438493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008894138,"about_ca_system_score_gemma":0.0001952045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002113347,"about_ca_topic_score_gemma":0.000507311,"domain_scores_codex":[0.9998828,0.00002808167,0.0000130305,0.0000174263,0.00003481236,0.00002390248],"domain_scores_gemma":[0.9998841,0.00002774833,0.00003001329,0.00000821403,0.00001934262,0.00003055803],"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":[0.002401396,0.004404973,0.04160031,0.002648311,0.0001649576,0.008225603,0.001211391,0.001916425,0.05320789,0.003291468,0.05626756,0.8246598],"study_design_scores_gemma":[0.002520118,0.03558382,0.2145866,0.005581144,0.000738652,0.0975417,0.007823905,0.03310502,0.03099742,0.01174252,0.5594638,0.000315242],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7874599,0.02160776,0.04743445,0.01005168,0.002023691,0.0009106311,0.002868363,0.001710196,0.1259333],"genre_scores_gemma":[0.9241811,0.005597225,0.01170092,0.002136147,0.0002737908,0.0004683912,0.0009144385,0.00004271346,0.05468531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02257905,"threshold_uncertainty_score":0.0755344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06737747660018234,"score_gpt":0.3854329485823688,"score_spread":0.3180554719821864,"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."}}