{"id":"W4298005731","doi":"10.3390/machines10100875","title":"A Dynamic Pole Motion Approach for Control of Nonlinear Hybrid Soft Legs: A Preliminary Study","year":2022,"lang":"en","type":"article","venue":"Machines","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Overshoot (microwave communication); Control theory (sociology); Controller (irrigation); Nonlinear system; Adaptive control; Computer science; Hybrid system; Control system; Stability (learning theory); Control engineering; Engineering; Control (management); Artificial intelligence; Physics","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":[0.0002795159,0.0003472031,0.0002549468,0.0002611818,0.0001577219,0.0004010587,0.0002871866,0.000367468,0.001584601],"category_scores_gemma":[0.0003664351,0.0001164836,0.0002964612,0.0001284975,0.0003771625,0.0003426666,0.0003513312,0.0002833958,0.0001211202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000203503,"about_ca_system_score_gemma":0.0001886378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406729,"about_ca_topic_score_gemma":0.0008967125,"domain_scores_codex":[0.9999143,0.00002474966,0.000004541381,0.00001730983,0.00003116322,0.000008018977],"domain_scores_gemma":[0.9998356,0.00007104487,0.00001615237,0.00001376132,0.00005566965,0.000007651918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002273288,0.0001403414,0.002184366,0.0008478258,0.0001002038,0.0005258522,0.0005868155,0.6685424,0.1383751,0.04652249,0.0006247974,0.1413225],"study_design_scores_gemma":[0.000007919485,0.0002185209,0.0004342443,0.00001520867,0.000009925731,0.00004407347,0.00003322902,0.992554,0.0032731,0.00195422,0.001447133,0.000008461612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08010592,0.001231286,0.9104209,0.0001342679,0.0000401135,0.00008467945,0.0000161786,0.0001035385,0.007863155],"genre_scores_gemma":[0.958781,0.0007756077,0.03699475,0.00004571032,0.00002314861,0.00007582309,0.00001625577,0.00001179813,0.003275784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001584601,"threshold_uncertainty_score":0.005300999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007677310661432228,"score_gpt":0.2318119629955203,"score_spread":0.2241346523340881,"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."}}