{"id":"W2124536805","doi":"10.1109/tro.2015.2489502","title":"Spline Path Following for Redundant Mechanical Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spline (mechanical); Mechanical system; Computer science; Path (computing); Algorithm; Mathematics; Control engineering; Mathematical optimization; Engineering; Artificial intelligence; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003126334,0.0003161546,0.0002274964,0.000247284,0.0001781428,0.0002553967,0.0002847394,0.0003595979,0.001850164],"category_scores_gemma":[0.0006984686,0.000151105,0.0002639893,0.000239363,0.0003920786,0.0002279218,0.0003258189,0.0003933031,0.0002942642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016493,"about_ca_system_score_gemma":0.0004561835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115821,"about_ca_topic_score_gemma":0.0009810611,"domain_scores_codex":[0.9998285,0.00004348707,0.000007791999,0.00002776979,0.00007980294,0.00001263204],"domain_scores_gemma":[0.9998022,0.00007992719,0.00003928045,0.0000213094,0.00004757125,0.000009669248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006291037,0.00003278659,0.0002619027,0.0001951883,0.00001341144,0.00008553486,0.0001600784,0.8116418,0.02741725,0.05718997,0.000877547,0.1020616],"study_design_scores_gemma":[0.00001169557,0.00008471777,0.00008742458,0.00001008063,0.000002908636,0.00002461743,0.00000806874,0.9853411,0.00224215,0.009809071,0.002371311,0.000006834568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01139345,0.0002210584,0.9861636,0.00003465531,0.00001556651,0.00002167628,0.00001519049,0.0001808041,0.001954001],"genre_scores_gemma":[0.7909157,0.0005225865,0.2025111,0.00004013397,0.0000310711,0.0001745958,0.0000987219,0.00006002319,0.005645919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001850164,"threshold_uncertainty_score":0.006189406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937638763041735,"score_gpt":0.2605255283083699,"score_spread":0.2311491406779526,"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."}}