{"id":"W4247420218","doi":"10.32920/ryerson.14647383.v1","title":"Design and optimization of CNC based polishing process","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerospace; Manufacturing engineering; Polishing; Taguchi methods; Process (computing); Quality (philosophy); Engineering; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001052532,0.0001628508,0.0002062592,0.0001002246,0.00002224392,0.0001224399,0.0000984601,0.0001900226,0.0001265845],"category_scores_gemma":[0.00002514606,0.0001672055,0.0000253949,0.00007097307,0.0000125321,0.0001203239,0.00005590005,0.000170234,1.312329e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000204616,"about_ca_system_score_gemma":0.00006055421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001729036,"about_ca_topic_score_gemma":0.000001419127,"domain_scores_codex":[0.9993375,0.0000176964,0.0002159214,0.0001976154,0.0001229465,0.0001083287],"domain_scores_gemma":[0.9995999,0.00003197975,0.00006317167,0.0001572456,0.000108729,0.00003892685],"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":[0.000002753355,0.000007575268,0.00002222754,0.001803412,0.00001686664,6.481416e-7,0.0002259662,0.9973055,0.00001883018,0.000006979177,0.00001650036,0.0005727265],"study_design_scores_gemma":[0.0001103119,0.000005316866,0.00003108906,0.00021866,0.00002355041,5.48257e-7,0.00004019228,0.9686866,0.03066249,0.00005354695,0.000002903927,0.0001648185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004971815,0.0003632886,0.9931412,0.00002370245,0.0001326446,0.0002048075,0.000002574142,0.0002087632,0.0009512149],"genre_scores_gemma":[0.6682611,0.0001714775,0.3313705,0.00001790433,0.0000227233,0.00002403901,0.00007686309,0.00003400081,0.00002144272],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6632892,"threshold_uncertainty_score":0.6818441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587104394780292,"score_gpt":0.2209683019899617,"score_spread":0.2050972580421588,"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."}}