{"id":"W4244557322","doi":"10.32920/ryerson.14649804.v1","title":"A New Shape Adaptive Motion Control System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Trajectory; Block (permutation group theory); Interpolation (computer graphics); Polishing; Motion planning; Computer vision; Surface (topology); Software; CAD; Spline (mechanical); Artificial intelligence; Motion (physics); Robot; Engineering; Mathematics; Engineering drawing; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005660383,0.000206528,0.000281918,0.00006314251,0.00002254213,0.000126698,0.0001120426,0.0002397432,0.0004436199],"category_scores_gemma":[0.000005692133,0.0002008193,0.00008434834,0.00004132222,0.000002928901,0.00006569281,0.00006149879,0.0002623043,0.00002934603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267851,"about_ca_system_score_gemma":0.00003570188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039719,"about_ca_topic_score_gemma":0.00001813894,"domain_scores_codex":[0.9992829,0.0000157533,0.000215455,0.0002336819,0.0001110593,0.0001411651],"domain_scores_gemma":[0.999613,0.00001116926,0.00004556494,0.0002103333,0.00004468851,0.00007518823],"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":[0.000003501991,0.000002895276,0.000006450808,0.0005734312,0.00005595217,0.00000369957,0.0001229507,0.9857579,0.00001014001,0.0002812116,0.0005474924,0.01263433],"study_design_scores_gemma":[0.0002323937,0.000005281961,0.0001831591,0.0002386182,0.00004181761,0.000002495336,0.00009168614,0.9979098,0.0008455236,0.00002789523,0.0002071284,0.0002142282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001085239,0.0008123087,0.9828714,0.0000171545,0.0008957621,0.0002931299,0.000006517483,0.0008065078,0.01321198],"genre_scores_gemma":[0.9788235,0.00007367673,0.02001637,0.0000168569,0.000250264,0.0000449359,0.00005780642,0.00003794052,0.0006785744],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9777383,"threshold_uncertainty_score":0.8189172,"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."}}