{"id":"W2004249519","doi":"10.4271/2011-01-0326","title":"Understanding Industrial Energy Use Through Lean Energy Analysis","year":2011,"lang":"en","type":"article","venue":"SAE International Journal of Materials and Manufacturing","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Suncor Energy (Canada)","funders":"U.S. Department of Energy","keywords":"Energy (signal processing); Energy analysis; Manufacturing engineering; Automotive engineering; Engineering; Process engineering; 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":[0.001044796,0.0005304858,0.0003537888,0.002041507,0.0003088883,0.001955718,0.0005158397,0.0003270033,0.001402805],"category_scores_gemma":[0.002575062,0.0003228862,0.000650107,0.002058984,0.0008571187,0.002422438,0.0008523844,0.0005712569,0.0002312021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132837,"about_ca_system_score_gemma":0.001178879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007410733,"about_ca_topic_score_gemma":0.007927629,"domain_scores_codex":[0.999382,0.0002228099,0.00003262632,0.00007079652,0.0002395607,0.00005208632],"domain_scores_gemma":[0.9991857,0.000496611,0.0001203849,0.00007326249,0.0001065649,0.00001731684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006481163,0.0002162619,0.03321832,0.0001550455,0.0001440956,0.00023366,0.0008718477,0.5239875,0.00388032,0.2800333,0.001605132,0.1555897],"study_design_scores_gemma":[0.000009226336,0.00003491056,0.01012753,0.00005333114,0.00002418745,0.00004449453,0.0007598039,0.6922321,0.001712079,0.2890458,0.005925129,0.00003140428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1744394,0.0003658381,0.8034084,0.0008099378,0.00002049122,0.0000689165,0.0003999843,0.0003070874,0.02017983],"genre_scores_gemma":[0.8753637,0.0004034044,0.1222722,0.00008028115,0.00002102496,0.000101603,0.000345264,0.00006534185,0.001347242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007410733,"threshold_uncertainty_score":0.01473522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1661991570043617,"score_gpt":0.2563372109699014,"score_spread":0.09013805396553967,"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."}}