{"id":"W2531456651","doi":"10.11159/cdsr16.139","title":"Prostheses and Exoskeletons: Moving From a Mechatronics Bottleneck through a Controls Bottleneck","year":2016,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Control, Dynamic systems, and Robotics","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bottleneck; Exoskeleton; Mechatronics; Computer science; Control engineering; Engineering; Simulation; Artificial intelligence; Embedded system","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":[],"consensus_categories":[],"category_scores_codex":[0.000218192,0.000211956,0.0004357652,0.00006473042,0.00005601429,0.00007647197,0.0003710855,0.0001189741,0.000005647226],"category_scores_gemma":[0.0002280631,0.0001309476,0.0000826371,0.00006043095,0.0002555181,0.0002668069,0.00009695366,0.0001062486,9.867655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000646555,"about_ca_system_score_gemma":0.0000442826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003709744,"about_ca_topic_score_gemma":0.000008204648,"domain_scores_codex":[0.9986477,0.00001210412,0.000581886,0.0002169356,0.000348517,0.0001928437],"domain_scores_gemma":[0.9986383,0.0002873833,0.0003163759,0.000124904,0.0005795194,0.00005351623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001324943,0.0000944534,0.01677034,0.0007412448,0.0008175041,5.372447e-7,0.0008276891,0.01675714,0.3198019,0.641106,0.0001227841,0.002827918],"study_design_scores_gemma":[0.004658529,0.0002861454,0.006396814,0.003491067,0.0002812288,0.00003240574,0.001397385,0.9254432,0.002532317,0.0539529,0.0008808986,0.000647139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250957,0.006084368,0.05896962,0.004926927,0.001420015,0.001141823,0.0004685073,0.0001269483,0.001766113],"genre_scores_gemma":[0.995149,0.001313629,0.003250535,0.00002743755,0.00004666796,0.0000266513,0.000002080569,0.00002665043,0.0001573327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.908686,"threshold_uncertainty_score":0.5339887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151078016054125,"score_gpt":0.2140886810402163,"score_spread":0.202577900879675,"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."}}