{"id":"W4253284058","doi":"10.32920/ryerson.14649804","title":"A New Shape Adaptive Motion Control System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trajectory; Computer science; Block (permutation group theory); Interpolation (computer graphics); Polishing; Motion planning; Surface (topology); Computer vision; Software; Spline (mechanical); CAD; Coordinate system; Artificial intelligence; Robot; Motion (physics); Engineering; Engineering drawing; Mathematics; Geometry; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003685636,0.000509405,0.000542731,0.0005789475,0.0004596449,0.0006885159,0.0008962576,0.0006734472,0.004063619],"category_scores_gemma":[0.0005138392,0.0002241632,0.0003332076,0.0004226398,0.0003630837,0.0005433832,0.0007518267,0.0005527823,0.001249916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954745,"about_ca_system_score_gemma":0.0003866708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838798,"about_ca_topic_score_gemma":0.001182537,"domain_scores_codex":[0.9995131,0.00004568987,0.00002525189,0.0001763398,0.0002111925,0.0000284601],"domain_scores_gemma":[0.9997724,0.00003898755,0.0000251339,0.00004317422,0.0001011943,0.00001919909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003256912,0.0000876901,0.0007658193,0.0002273248,0.00004889178,0.0002082544,0.0001840934,0.05659811,0.154301,0.01226886,0.004284265,0.7707001],"study_design_scores_gemma":[0.0001129959,0.0005141315,0.001459012,0.00003422113,0.00005075162,0.0003888415,0.00003333245,0.904958,0.03117071,0.002544873,0.05867542,0.00005785105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01087718,0.0005421746,0.9793928,0.0001107591,0.0002254912,0.0001036088,0.0000634529,0.002569309,0.006115279],"genre_scores_gemma":[0.5415317,0.000745816,0.4275059,0.0003719786,0.0002932919,0.0005143758,0.0004468787,0.0001566047,0.02843338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004063619,"threshold_uncertainty_score":0.01359409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028672397680706,"score_gpt":0.1867189619394779,"score_spread":0.1764322379626709,"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."}}