{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001987839,0.001211085,0.002224823,0.005351778,0.0004135404,0.002098747,0.001431116,0.001969654,0.006938862],"category_scores_gemma":[0.00327826,0.0005401599,0.001731439,0.004354304,0.0005275395,0.002621508,0.00137776,0.001710255,0.002114396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005821203,"about_ca_system_score_gemma":0.003276273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009863634,"about_ca_topic_score_gemma":0.001662668,"domain_scores_codex":[0.9993173,0.0001275006,0.0001784938,0.0001010917,0.0002235402,0.00005222171],"domain_scores_gemma":[0.9973879,0.001622534,0.0003230544,0.00005175228,0.0005023967,0.0001123628],"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":[0.0001254685,0.0001091904,0.0002892561,0.1323588,0.0002965011,0.0002241528,0.00013696,0.0004534453,0.00149666,0.002835324,0.02523389,0.8364404],"study_design_scores_gemma":[0.00004226328,0.0003053983,0.001306968,0.05347664,0.001018509,0.001299426,0.0001847369,0.0002475504,0.0006723434,0.0024961,0.938886,0.00006394718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000111032,0.9986737,0.0001689301,0.0003071095,0.000226135,0.00001044738,0.00003174763,0.000008080338,0.0004627388],"genre_scores_gemma":[0.0004395147,0.9987271,0.0002726484,0.0002071122,0.0001661718,0.00001167108,0.00003904918,0.000002266534,0.0001344262],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006938862,"threshold_uncertainty_score":0.02321285,"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."}}