{"id":"W4404721453","doi":"10.3390/s24237532","title":"Technologies and Sensors for Artificial Muscles in Rehabilitation","year":2024,"lang":"en","type":"review","venue":"Sensors","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exoskeleton; Wearable computer; Computer science; Artificial muscle; Rehabilitation; Physical medicine and rehabilitation; Artificial intelligence; Simulation; Medicine; Physical therapy; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006713021,0.001119131,0.001097155,0.002705506,0.0003994994,0.001154782,0.001014927,0.002151054,0.00776885],"category_scores_gemma":[0.0007549285,0.0004795477,0.00101605,0.002153219,0.0005340719,0.001974162,0.0009224917,0.00211064,0.004707416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004747081,"about_ca_system_score_gemma":0.0007185045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006969799,"about_ca_topic_score_gemma":0.001185881,"domain_scores_codex":[0.9995614,0.00006948219,0.00004572075,0.00008091019,0.0002023263,0.00004018951],"domain_scores_gemma":[0.9996855,0.0001489231,0.00004499575,0.00001637626,0.0000890706,0.00001516652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005009481,0.000145048,0.0002198942,0.02652619,0.00009471412,0.0002969889,0.0001075052,0.0006666021,0.01320897,0.01361257,0.02180604,0.9232653],"study_design_scores_gemma":[0.000006919975,0.0001171128,0.0005753199,0.004222563,0.00007864152,0.001104854,0.00006815007,0.0002199316,0.003161047,0.003359896,0.9870614,0.00002405243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003997574,0.9914614,0.00134347,0.0003995812,0.0005058844,0.00002118259,0.0000382383,0.00002341254,0.005807131],"genre_scores_gemma":[0.003158075,0.9890755,0.002014535,0.0003720179,0.0002145118,0.00003629511,0.00006382036,0.000007868533,0.005057323],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00776885,"threshold_uncertainty_score":0.02598935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03595909546050039,"score_gpt":0.3002282448630323,"score_spread":0.2642691494025319,"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."}}