{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006486946,0.0008600013,0.0007620803,0.0007148202,0.0004628548,0.001380422,0.001012895,0.0007143479,0.001841882],"category_scores_gemma":[0.0006648803,0.000458024,0.0005291727,0.0006888345,0.0003577673,0.0003777272,0.0003570096,0.0005186024,0.0004440135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286072,"about_ca_system_score_gemma":0.002016073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005676859,"about_ca_topic_score_gemma":0.005254936,"domain_scores_codex":[0.9992398,0.00005521789,0.000027047,0.0001813554,0.0004256964,0.00007083926],"domain_scores_gemma":[0.9997614,0.00004218151,0.00005664711,0.00001467031,0.0001130493,0.00001207504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003321266,0.0002000337,0.001193105,0.0006805035,0.00004039869,0.000187287,0.00008710685,0.6790447,0.2436513,0.006399678,0.0008382578,0.06734555],"study_design_scores_gemma":[0.00004579683,0.0004263567,0.00150779,0.000019367,0.00004458041,0.0000693717,0.00002256226,0.9394545,0.05346211,0.0007169287,0.004209565,0.00002103539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2365905,0.001516515,0.7263908,0.0001961128,0.0001381854,0.0006889397,0.0002842559,0.0009566942,0.03323797],"genre_scores_gemma":[0.8811315,0.0006062587,0.1113117,0.00004110589,0.00001336347,0.0004062914,0.0001830147,0.00008756544,0.006219172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005676859,"threshold_uncertainty_score":0.01128763,"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."}}