{"id":"W4367628093","doi":"10.3390/robotics12030066","title":"Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton","year":2023,"lang":"en","type":"article","venue":"Robotics","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Exoskeleton; Torque; Control theory (sociology); Artificial neural network; Robot; Work (physics); Computer science; Engineering; Dynamics (music); Simulation; Control engineering; Artificial intelligence; Physics; Control (management); Mechanical engineering; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000179848,0.0001390415,0.0001506661,0.0003013767,0.000058405,0.00004041821,0.0001029551,0.0001218265,0.00001538483],"category_scores_gemma":[0.00005452524,0.0001501019,0.00005082679,0.0005287628,0.00002463884,0.0001487219,0.00003237974,0.0002282814,0.000164871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633539,"about_ca_system_score_gemma":0.00001142791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008801157,"about_ca_topic_score_gemma":0.00003530612,"domain_scores_codex":[0.9990879,0.00002232249,0.0003197248,0.0001473047,0.0001646896,0.0002580367],"domain_scores_gemma":[0.9996019,0.00006865855,0.00003648433,0.0002017941,0.00003707869,0.00005410108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001136794,0.00001784114,0.0004783579,0.00008855196,0.000006929017,0.000003739588,0.0002522453,0.9903784,0.001956316,0.002860728,0.0007035023,0.003252231],"study_design_scores_gemma":[0.0002607413,0.00004669115,0.006937055,0.00006456902,0.000007326672,0.000002555077,0.0001299617,0.9877651,0.0006184328,0.003685577,0.0002965717,0.0001854537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8095475,0.00008468955,0.1813941,0.0008740765,0.001991683,0.0006110164,0.000006700833,0.001531763,0.003958491],"genre_scores_gemma":[0.9940333,0.00003454425,0.005102349,0.00002547985,0.00004589803,0.00001742795,0.00005522326,0.00004524139,0.0006404924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1844859,"threshold_uncertainty_score":0.6120976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467035942234946,"score_gpt":0.2707592079442072,"score_spread":0.2560888485218578,"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."}}