{"id":"W4233557316","doi":"10.32920/ryerson.14657337","title":"Modelling for Contact Stress Control in Automated Polishing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Polishing; Torque; Coupling (piping); Stress (linguistics); Work (physics); Control theory (sociology); Contact mechanics; Engineering; Computer science; Control (management); Mechanical engineering; Control engineering; Finite element method; Structural engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002607954,0.0005637737,0.0004732339,0.0002765444,0.0002382124,0.001045924,0.0006957926,0.0006669829,0.001650864],"category_scores_gemma":[0.0007218128,0.0003044196,0.0004489147,0.000225278,0.0006195859,0.0006389079,0.0005242407,0.0005331513,0.0003634097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003951924,"about_ca_system_score_gemma":0.0005166341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128017,"about_ca_topic_score_gemma":0.002032027,"domain_scores_codex":[0.9997057,0.00004466673,0.00001394965,0.00006338984,0.0001459046,0.00002634437],"domain_scores_gemma":[0.9997402,0.0001113506,0.00005187542,0.00003495849,0.00005224416,0.000009474157],"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":[0.00005483405,0.00003408905,0.0002735252,0.00008283597,0.00001098473,0.00007480217,0.0001263169,0.9378181,0.03145443,0.01219985,0.0001994804,0.01767083],"study_design_scores_gemma":[0.0000046083,0.00003124903,0.0000940891,0.000003900919,0.00000280179,0.00001079582,0.00000678291,0.9939849,0.002976837,0.002014626,0.0008651877,0.000004282373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03114744,0.0001507699,0.9650382,0.00004274541,0.00001748567,0.00003394105,0.00003371989,0.0003675568,0.003168201],"genre_scores_gemma":[0.9523143,0.0002906712,0.04285236,0.00001516007,0.00001472789,0.0001185769,0.00006506802,0.00006316263,0.004265929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003128017,"threshold_uncertainty_score":0.006219625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116681738975978,"score_gpt":0.2740784649670301,"score_spread":0.2529116475772704,"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."}}