{"id":"W4245027804","doi":"10.32920/ryerson.14656821","title":"Modelling And Control Of Automated Polishing/Deburring Process","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Control engineering; Controller (irrigation); Nonlinear system; Polishing; Engineering; Linearization; Pressure control; Actuator; Process (computing); Control system; Computer science; Mechanical engineering; Control (management); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000162029,0.0003192002,0.0005797613,0.0001314914,0.00002652303,0.0001329788,0.0002735191,0.0003455064,0.00000825137],"category_scores_gemma":[0.00005691002,0.0003485368,0.00007163376,0.0001032434,0.00004222229,0.000269535,0.0002246431,0.0006361993,3.324074e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006873246,"about_ca_system_score_gemma":0.00004663078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002329559,"about_ca_topic_score_gemma":0.00001281277,"domain_scores_codex":[0.998733,0.00002177075,0.000425208,0.0003309629,0.000197471,0.0002915853],"domain_scores_gemma":[0.9991918,0.00007350264,0.00009675728,0.0003982751,0.0001551701,0.0000845145],"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":[0.000002040163,0.000007461562,0.0001545987,0.001396938,0.00007071604,0.000004240298,0.0005389273,0.9958451,0.001691331,0.00009750519,0.00002711551,0.0001639682],"study_design_scores_gemma":[0.0001392177,0.000004653501,0.00001631757,0.000718268,0.00003317442,0.000004099672,0.00009185745,0.9571067,0.03938387,0.002178138,0.0000114325,0.0003122531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2916689,0.002143225,0.6987035,0.00001948898,0.0001449642,0.0002487109,0.00001876713,0.005476025,0.001576456],"genre_scores_gemma":[0.9177351,0.0002520777,0.08181276,0.00001878507,0.0000325918,0.00003678062,0.00001524013,0.0000869879,0.000009657138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6260662,"threshold_uncertainty_score":0.9998966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482747104700954,"score_gpt":0.2640225482928463,"score_spread":0.2491950772458367,"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."}}