{"id":"W4385625871","doi":"10.1109/icaeca56562.2023.10199244","title":"Advancing Exoskeleton Research: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Exoskeleton; Computer science; Data science; Systems engineering; Engineering; Simulation","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006409277,0.0002930894,0.0013196,0.0003004304,0.00006645415,0.00002875474,0.000298071,0.0001882446,0.0001174261],"category_scores_gemma":[0.000233089,0.000221028,0.0003736819,0.001034793,0.00005932731,0.00003360998,0.0001288286,0.0007291725,0.00237845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918599,"about_ca_system_score_gemma":0.00008988775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001956793,"about_ca_topic_score_gemma":0.000002269319,"domain_scores_codex":[0.9981124,0.0001760362,0.0006451294,0.0002679494,0.00034707,0.0004514625],"domain_scores_gemma":[0.9981986,0.0009090347,0.00004808909,0.0005301413,0.0001898823,0.0001242029],"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":[3.70897e-8,0.000003759005,1.201286e-8,0.3885252,0.00004739815,0.000007137475,0.000008320459,0.0001112008,1.123402e-7,0.0003836872,0.04137228,0.5695408],"study_design_scores_gemma":[0.00002020722,0.00001658132,8.884665e-8,0.1050441,0.00008877544,0.000007916247,0.00001286718,0.0001539297,5.605431e-8,0.000160998,0.8942779,0.0002165702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.88533e-8,0.9935977,0.000140569,0.00007569826,0.0003380238,0.001301973,0.00001334386,0.0005730828,0.003959608],"genre_scores_gemma":[1.406498e-8,0.997019,0.001328025,0.00004421784,0.00009198803,0.0002016035,0.00006342202,0.0001511493,0.001100606],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8529056,"threshold_uncertainty_score":0.9983983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2203132130189039,"score_gpt":0.4470417326599867,"score_spread":0.2267285196410828,"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."}}