{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005278629,0.0003789018,0.0005710854,0.0004247617,0.0003438681,0.0006446234,0.0006850632,0.0004105745,0.00151152],"category_scores_gemma":[0.001784815,0.0002976036,0.0001944401,0.0008488213,0.0003470891,0.0006335588,0.0001922871,0.0004752204,0.0003088017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003741591,"about_ca_system_score_gemma":0.0001422425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256546,"about_ca_topic_score_gemma":0.003564158,"domain_scores_codex":[0.9994937,0.00005456467,0.00002683515,0.00009860616,0.0002529791,0.0000733229],"domain_scores_gemma":[0.9979645,0.001443288,0.0001753073,0.0001039816,0.0002719517,0.0000409852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003238407,0.0003962016,0.03312635,0.0004512086,0.00004901894,0.0008165478,0.0004448351,0.02920192,0.8279735,0.0002683048,0.0006341518,0.1033995],"study_design_scores_gemma":[0.00004843253,0.002329311,0.2379288,0.00002783316,0.00005323485,0.0005015134,0.0003588045,0.02852887,0.7281646,0.0003662284,0.001619133,0.00007326811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952582,0.0002765697,0.002842314,0.00002000244,0.00000501409,0.00001735755,0.0001504547,0.00004937213,0.001380722],"genre_scores_gemma":[0.9975822,0.00008796227,0.001334873,0.00001074632,0.000002325935,0.00001019899,0.0001579184,0.00004061828,0.0007730707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00151152,"threshold_uncertainty_score":0.0050565,"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."}}