{"id":"W205334397","doi":"","title":"The Impact of Machining Parameters on Peak Power and Energy Consumption in CNC Endmilling","year":2013,"lang":"en","type":"article","venue":"Energy and Power","topic":"Energy Efficiency and Management","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Machining; Machine tool; Energy consumption; Power (physics); Mechanical engineering; Power consumption; Cnc milling; Automotive engineering; Energy (signal processing); Numerical control; Engineering; Electrical engineering; Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000219528,0.0001824945,0.0001789996,0.0001270025,0.0001442844,0.00005353835,0.000109523,0.00008692163,0.0002245206],"category_scores_gemma":[0.00003725781,0.0001201492,0.00006823133,0.0001055862,0.0001351131,0.0001141419,0.0000646542,0.00008996572,0.000003769163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002748374,"about_ca_system_score_gemma":0.00001002507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008090405,"about_ca_topic_score_gemma":0.0006058582,"domain_scores_codex":[0.9989424,0.0001226518,0.0002582316,0.0002466328,0.0001332288,0.0002968068],"domain_scores_gemma":[0.9992847,0.0002993714,0.00009404486,0.0002263505,0.0000204691,0.00007506326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002184427,0.0001870398,0.004483075,0.00001270779,0.0002002538,0.00001424408,0.001328686,0.08507977,0.002584008,0.8202264,0.00111485,0.08455055],"study_design_scores_gemma":[0.008478657,0.005110073,0.5606123,0.0009064619,0.0001456631,0.00008060854,0.003441721,0.07197902,0.01732272,0.04757279,0.2807807,0.003569221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535076,0.001205901,0.0002560525,0.0001084392,0.0001950842,0.00003023199,0.000001609267,0.0000250354,0.04467005],"genre_scores_gemma":[0.9975401,0.000985484,0.00006254756,0.0002198687,0.00001358203,0.00002376759,0.000005737088,0.00001658629,0.001132332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7726536,"threshold_uncertainty_score":0.9985148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034430553936695,"score_gpt":0.2399325846692291,"score_spread":0.2295882791298622,"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."}}