{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002475992,0.0004119254,0.0006931028,0.0002011421,0.00003120038,0.000302829,0.0004160788,0.0005341557,0.00001454285],"category_scores_gemma":[0.0000839422,0.0004764451,0.0001632715,0.0001024878,0.00001193606,0.0003235717,0.0001779614,0.0008775275,0.000001007721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003945349,"about_ca_system_score_gemma":0.00006799318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145713,"about_ca_topic_score_gemma":0.0003536796,"domain_scores_codex":[0.9982814,0.00003868927,0.0005353926,0.0004417149,0.0001644526,0.0005383101],"domain_scores_gemma":[0.9989468,0.000256407,0.00007737723,0.0005204254,0.0001123215,0.00008662523],"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":[0.000007239566,0.00001505492,0.0001745475,0.0004474246,0.00005948759,0.00001032929,0.0002796172,0.997126,0.0008347092,0.0004256939,0.0004763723,0.0001435101],"study_design_scores_gemma":[0.0004682998,0.000007145327,0.0000237079,0.0007118295,0.00002092074,0.00000108384,0.0001241839,0.9902182,0.005948009,0.001864914,0.0001339878,0.000477711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05898337,0.0008648729,0.9290166,0.00006709113,0.0005001354,0.0009672054,0.000286557,0.008169123,0.00114501],"genre_scores_gemma":[0.8297781,0.0001224215,0.1693323,0.00006130724,0.00007430035,0.0002896171,0.0001873639,0.0001321562,0.00002234035],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7707948,"threshold_uncertainty_score":0.9997687,"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."}}