{"id":"W1479806137","doi":"","title":"Energy Efficiency Standards and Labels in North America: Opportunities for Harmonization","year":2008,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Comisión Nacional de Actividades Espaciales; U.S. Department of Energy","keywords":"Harmonization; Efficient energy use; Conditioners; Test (biology); Resource (disambiguation); Business; Environmental economics; Operations management; Computer science; Environmental science; Engineering; Economics; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02723178,0.0002988238,0.0003946954,0.003300309,0.003550278,0.005795612,0.002240598,0.00243725,0.005187279],"category_scores_gemma":[0.02694866,0.000546157,0.0006097247,0.006579326,0.003891069,0.005870026,0.003205847,0.004148599,0.0006889569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01206389,"about_ca_system_score_gemma":0.022647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1229409,"about_ca_topic_score_gemma":0.2021679,"domain_scores_codex":[0.9777452,0.007048897,0.001734363,0.001442742,0.01068516,0.001343644],"domain_scores_gemma":[0.951008,0.01264512,0.003565333,0.005635223,0.02621659,0.0009296882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000203007,0.0006265871,0.02517004,0.0006202263,0.00005308561,0.0002708589,0.01788674,0.00199323,0.005031598,0.1843872,0.1157653,0.6479923],"study_design_scores_gemma":[0.00005393126,0.0002545241,0.09713972,0.001083332,0.00005985917,0.0002228569,0.01856902,0.0009226613,0.004078095,0.02768473,0.8497958,0.0001355191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1788415,0.02283582,0.07696742,0.1755265,0.002981019,0.001133801,0.002360891,0.001610794,0.5377423],"genre_scores_gemma":[0.6779302,0.01116773,0.1669909,0.03427294,0.0006386723,0.001357259,0.006014439,0.0006397814,0.1009881],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1229409,"threshold_uncertainty_score":0.2444506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143144875429518,"score_gpt":0.2116129339627713,"score_spread":0.1901814852084762,"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."}}