{"id":"W4385451887","doi":"10.23919/ecc57647.2023.10178343","title":"Near-Optimal Trajectory Generation for Flexible Motion Systems using Two-Boundary Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education","keywords":"Trajectory; Motion (physics); Computer science; Boundary (topology); Process (computing); Interval (graph theory); Motion control; Invariant (physics); Algorithm; Control theory (sociology); Artificial intelligence; Mathematics; Control (management); Mathematical analysis; Robot; Combinatorics; Physics; Programming language","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":[0.0003563301,0.0001229925,0.0001808541,0.00006258828,0.0001310038,0.0002069723,0.00007932759,0.00008373715,0.000005075438],"category_scores_gemma":[0.000006585231,0.0001176062,0.00008028915,0.0001716461,0.00000823455,0.0001280694,0.00001103795,0.00006405696,0.00002532154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225316,"about_ca_system_score_gemma":0.00002136972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006361991,"about_ca_topic_score_gemma":0.000006870463,"domain_scores_codex":[0.999153,0.00002045476,0.000244453,0.0001788626,0.0001475136,0.0002557033],"domain_scores_gemma":[0.9997148,0.00002146568,0.00002494215,0.0001423161,0.00003680357,0.00005967482],"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":[0.000003670831,0.00000788088,0.000005271968,0.00009165447,0.00003120465,4.643277e-7,0.00003037578,0.9385347,0.05559922,0.004028777,0.0005003836,0.001166439],"study_design_scores_gemma":[0.0004565819,0.00002285277,0.00001036291,0.000009491018,0.00001632323,0.000004609997,0.00007907497,0.9978203,0.0002099518,0.00003122529,0.001194319,0.0001448824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2224608,0.0001454617,0.7736151,0.000007735,0.001163312,0.0004409767,0.00001229837,0.0007632209,0.001391037],"genre_scores_gemma":[0.9932283,0.000003995741,0.005155552,0.000009605409,0.0006128591,0.0001159266,0.00009478957,0.00004686441,0.0007321039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7707675,"threshold_uncertainty_score":0.4795842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806672709033347,"score_gpt":0.2458250797634398,"score_spread":0.2077583526731064,"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."}}