{"id":"W4242749412","doi":"10.1109/ppic.2013.6656040","title":"Review of upcoming motor efficiency regulations in the U.S.","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lagging; Scope (computer science); Efficient energy use; Raising (metalworking); Process (computing); Computer science; Environmental economics; Engineering; Risk analysis (engineering); Operations research; Business; Economics; Electrical engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001460208,0.00003670804,0.00008316478,0.00004989291,0.00001041589,0.000005352814,0.00009563714,0.00001200428,0.0004842549],"category_scores_gemma":[0.00002377542,0.00002274675,0.00003955359,0.0003846435,0.000005673398,0.00003673601,0.000002853391,0.00003884702,0.00002148793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008272956,"about_ca_system_score_gemma":0.000003103651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005480147,"about_ca_topic_score_gemma":0.000003432456,"domain_scores_codex":[0.9996644,0.00001761171,0.0001463476,0.00003757157,0.00006296377,0.00007110416],"domain_scores_gemma":[0.9997842,0.00005169227,0.00001142481,0.0001270967,0.00001588365,0.000009693107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001648978,0.000331235,0.005252692,0.0129914,0.0001921618,0.000004274654,0.001906529,0.007908937,0.08573843,0.02041109,0.2890154,0.5762463],"study_design_scores_gemma":[0.0002569298,0.00004805955,0.02364216,0.00244667,0.0000808895,0.000005324867,0.00007809796,0.9590717,0.001651612,0.0009719295,0.0114088,0.0003378484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2290272,0.2296583,0.1528292,0.004580736,0.000198972,0.003348296,0.000003972862,0.00054362,0.3798097],"genre_scores_gemma":[0.9906914,0.005904944,0.002143013,0.0004304818,0.00002068372,0.00005125141,0.000001327784,0.000007510132,0.0007494267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9511628,"threshold_uncertainty_score":0.5302252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009571536968454041,"score_gpt":0.2120284653100745,"score_spread":0.2024569283416204,"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."}}