{"id":"W3209119107","doi":"10.3390/ma14216496","title":"CNC Edge Finishing of Granite: Effect of Machining Conditions on Part Quality, Cutting Forces, and Particle Emissions","year":2021,"lang":"en","type":"article","venue":"Materials","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Machining; Particle (ecology); Quality (philosophy); Mechanical engineering; Materials science; Metallurgy; Engineering; Geology; 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":[0.0002877566,0.0004056073,0.0004332892,0.0003014179,0.0002744984,0.0004843576,0.0003093173,0.0003775641,0.0009378497],"category_scores_gemma":[0.0006576057,0.000196873,0.0003697176,0.0003093085,0.000243877,0.0002335581,0.0002213028,0.0004426086,0.0001948962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766829,"about_ca_system_score_gemma":0.0001690578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003829752,"about_ca_topic_score_gemma":0.00687561,"domain_scores_codex":[0.9996898,0.00003141061,0.00002109457,0.00009095839,0.0001131868,0.0000535351],"domain_scores_gemma":[0.9995112,0.0001532821,0.0001277305,0.00004394639,0.0001248638,0.00003898283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001544736,0.0001077356,0.004327333,0.0001292375,0.00002693882,0.000133588,0.0001031917,0.001046108,0.9866902,0.00001874432,0.00003322546,0.005838947],"study_design_scores_gemma":[0.00003343702,0.003075775,0.09940843,0.00001592427,0.00007273768,0.0002325429,0.0002495747,0.0033732,0.8919355,0.00003381294,0.00153506,0.00003404962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992119,0.0001300939,0.0003307047,0.000003534576,0.000003021095,0.000008091388,0.00004869481,0.0000108881,0.0002530648],"genre_scores_gemma":[0.9969607,0.0001398168,0.001892711,0.00001234983,0.000001456638,0.00001132994,0.0001698114,0.00002067186,0.0007911907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003829752,"threshold_uncertainty_score":0.007614911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142253840961524,"score_gpt":0.2925234515554536,"score_spread":0.2782980674593012,"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."}}