{"id":"W4245517256","doi":"10.22215/etd/2011-09302","title":"Design and implementation of a gait rehabilitation robot manipulator","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Manipulator (device); Computer science; Engineering; Robot; Simulation; Artificial intelligence","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":[0.0003711779,0.0004391326,0.000372129,0.0004239397,0.0004581439,0.0005037721,0.001131581,0.0008852266,0.008340474],"category_scores_gemma":[0.0003617642,0.000312555,0.0002366048,0.0001632538,0.0002095619,0.0003278511,0.0003851736,0.0004481656,0.002475203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527329,"about_ca_system_score_gemma":0.001056536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009303285,"about_ca_topic_score_gemma":0.001157448,"domain_scores_codex":[0.9997489,0.00002337964,0.00001908703,0.00005044543,0.0001284369,0.00002979168],"domain_scores_gemma":[0.9998046,0.00001966129,0.0000286913,0.0000261578,0.0000919677,0.00002885547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002679725,0.0003253909,0.00124329,0.0004542905,0.00006448182,0.0006630191,0.0002826013,0.01853878,0.5649407,0.007629103,0.004998259,0.4005921],"study_design_scores_gemma":[0.0007907718,0.006666076,0.01206741,0.0002973023,0.0002082895,0.005363855,0.0002145198,0.3776687,0.4071964,0.002850907,0.1865122,0.0001634741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0353848,0.0002685308,0.9463277,0.0002968674,0.0001601712,0.0005798485,0.0001037547,0.004267548,0.01261086],"genre_scores_gemma":[0.3476347,0.0003269897,0.618055,0.0002028916,0.00004347452,0.0007953511,0.0002406827,0.0001385162,0.03256229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008340474,"threshold_uncertainty_score":0.02790165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216645501076853,"score_gpt":0.2521686521736724,"score_spread":0.2400021971629039,"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."}}