{"id":"W3143017359","doi":"10.14447/jnmes.v24i1.a06","title":"Synthesis and Optimization of AA 7175 – Zirconium Carbide (ZrC) Composites Machining Parameters","year":2021,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Machining; Surface roughness; Composite material; Carbide; Microstructure; Alloy; Aluminium; Boron carbide; Zirconium; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003115123,0.000460672,0.0003246175,0.000640661,0.0002227232,0.0003569587,0.0002313888,0.0002627589,0.0008548691],"category_scores_gemma":[0.0002400942,0.0001660323,0.0002880622,0.0004125175,0.0001211504,0.0001925933,0.000114896,0.0002885718,0.0003180908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003176354,"about_ca_system_score_gemma":0.0004019973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094266,"about_ca_topic_score_gemma":0.004858503,"domain_scores_codex":[0.999755,0.00001759308,0.00001795222,0.00004866504,0.0001255498,0.0000352981],"domain_scores_gemma":[0.9999044,0.00001206008,0.0000338385,0.000007606039,0.00003376571,0.000008360788],"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":[0.00004899953,0.00004080522,0.0002037817,0.0001656661,0.00000620573,0.0000280239,0.00001853192,0.001411065,0.9921739,0.0001670887,0.00006356509,0.005672494],"study_design_scores_gemma":[0.000009299039,0.000328078,0.001764041,0.000007774634,0.00002798005,0.00004068438,0.00002705423,0.002439043,0.9920841,0.00004136224,0.003219848,0.0000106861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663839,0.002351425,0.02322163,0.00006352075,0.0000605074,0.0001833119,0.000491668,0.000258233,0.006985758],"genre_scores_gemma":[0.9508244,0.001038301,0.04551825,0.0000165326,0.000008593417,0.0001284371,0.000317841,0.00006067472,0.002086982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001094266,"threshold_uncertainty_score":0.002859831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009349804287670566,"score_gpt":0.2302759121936402,"score_spread":0.2209261079059696,"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."}}