{"id":"W4400829454","doi":"10.1139/tcsme-2023-0198","title":"The adaptive sliding mode control based on U–K theory for foot trajectory following of hexapod robot","year":2024,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hexapod; Control theory (sociology); Trajectory; Mode (computer interface); Computer science; Robot; Foot (prosody); Control engineering; Control (management); Engineering; Physics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004643135,0.0001720193,0.0002331579,0.00005811198,0.000245502,0.00003075077,0.0002564623,0.0001314046,0.000006727986],"category_scores_gemma":[0.00004417023,0.0001305361,0.001310441,0.0001939381,0.00002188626,0.00005666154,0.000001510468,0.0002512248,3.522439e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336452,"about_ca_system_score_gemma":0.0001691833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002606074,"about_ca_topic_score_gemma":0.001623128,"domain_scores_codex":[0.9990643,0.00001751988,0.0002805208,0.0001468058,0.0001504632,0.0003404468],"domain_scores_gemma":[0.9985849,0.0009898476,0.00002179371,0.0002406927,0.00003786573,0.0001249157],"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":[0.00001843672,0.000006948184,7.157319e-8,0.0001213647,0.0004406685,1.44805e-7,0.0001159438,0.9657984,0.005572481,0.02531384,0.00006457461,0.002547074],"study_design_scores_gemma":[0.0006791178,0.00007188783,0.000002640825,0.0001527221,0.0002292928,6.463997e-7,0.0001223494,0.9909263,0.006344044,0.0006761825,0.0006625346,0.0001322589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002727108,0.0003552374,0.99661,0.000486676,0.001147636,0.0007754628,0.0001810576,0.0001259971,0.0000452272],"genre_scores_gemma":[0.9943244,0.000006337494,0.005178274,0.00007029795,0.00005468033,0.000242438,0.000002211699,0.00006273503,0.00005862691],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9940517,"threshold_uncertainty_score":0.5323107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00904421769103061,"score_gpt":0.203264472861173,"score_spread":0.1942202551701424,"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."}}