{"id":"W3202101230","doi":"10.18280/rcma.310404","title":"Machinability Studies and Optimization of AA 6082/Fly Ash/Carbonized Eggshell Matrix Composite","year":2021,"lang":"en","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machinability; Materials science; Composite material; Orthogonal array; Composite number; Machining; Taguchi methods; Matrix (chemical analysis); Aluminium; Factorial experiment; Ribbon; Metallurgy; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003737446,0.0005053944,0.0009665146,0.0001783703,0.000229206,0.0001929562,0.0002879283,0.0001528728,0.000045672],"category_scores_gemma":[0.0001619214,0.0004769127,0.0001831957,0.0004188034,0.0006280586,0.000456355,0.0003384187,0.0003181537,0.00001933633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373662,"about_ca_system_score_gemma":0.00005123623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002310947,"about_ca_topic_score_gemma":0.00004192106,"domain_scores_codex":[0.9976177,0.0002922427,0.0008166654,0.000528154,0.0002601786,0.0004851013],"domain_scores_gemma":[0.9980089,0.0004656689,0.0001594932,0.0006469003,0.0005581529,0.0001608751],"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":[0.0001129579,0.0001325575,0.01006224,0.005262522,0.0005550706,0.000082884,0.004976429,0.8528674,0.1235198,0.0005776083,0.00006565607,0.001784902],"study_design_scores_gemma":[0.001832526,0.0002625048,0.007645754,0.00175858,0.0004365506,0.0006888378,0.0006552208,0.8890774,0.09269565,0.003152686,0.0006108862,0.001183446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8088751,0.05277893,0.1351493,0.0001841832,0.0004064735,0.0005594495,0.00005442555,0.000668648,0.001323485],"genre_scores_gemma":[0.6352367,0.003577047,0.3605854,0.00003769199,0.00006922994,0.00003576176,0.00006052088,0.0001077303,0.0002898429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2254361,"threshold_uncertainty_score":0.9997683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467627243450339,"score_gpt":0.2862534793630804,"score_spread":0.2394907550180465,"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."}}