{"id":"W2563479632","doi":"10.3390/s16122121","title":"Design and Optimization of a Hybrid-Driven Waist Rehabilitation Robot","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Waist; Rehabilitation; Robot; Computer science; Physical medicine and rehabilitation; Engineering; Human–computer interaction; Simulation; Physical therapy; Artificial intelligence; 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":[0.0003164351,0.0004786106,0.0004394019,0.000324182,0.0002351277,0.0003981194,0.0005857425,0.0004843317,0.001655861],"category_scores_gemma":[0.0003160977,0.0003287983,0.0003689118,0.0001812367,0.0002755835,0.000238187,0.0004452435,0.0002112362,0.0003693441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502812,"about_ca_system_score_gemma":0.0006359512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334829,"about_ca_topic_score_gemma":0.001087375,"domain_scores_codex":[0.9998241,0.00003109545,0.00001055315,0.00004365292,0.00006781373,0.00002270522],"domain_scores_gemma":[0.9998821,0.00002603968,0.00003197879,0.00001128567,0.00003673228,0.00001190572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001714799,0.00007453108,0.001243329,0.0003062136,0.00006348886,0.0002609174,0.0001008269,0.87766,0.05681808,0.003855443,0.0005994703,0.05884615],"study_design_scores_gemma":[0.00003989116,0.000317502,0.0009069151,0.00001548039,0.00002501647,0.00008647732,0.00002856747,0.992529,0.003985872,0.0004519077,0.001599358,0.00001400326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06412692,0.0002162619,0.9288846,0.00007961583,0.00002949437,0.0001469276,0.00005376329,0.0003808152,0.006081583],"genre_scores_gemma":[0.7912041,0.0002344868,0.2033644,0.00004679045,0.00001477733,0.0005353998,0.00009333246,0.00004008227,0.004466527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001655861,"threshold_uncertainty_score":0.005539358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347957634174631,"score_gpt":0.2538397646183129,"score_spread":0.2403601882765665,"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."}}