{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006721316,0.0001983038,0.0001990248,0.0002036563,0.0001018242,0.0003091083,0.0001369559,0.00006171651,0.0000308837],"category_scores_gemma":[0.00005876966,0.0002003763,0.0000423765,0.0003801677,0.00007237193,0.001573279,0.00005038218,0.0001178133,0.000004832202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007213159,"about_ca_system_score_gemma":0.0001322054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000166428,"about_ca_topic_score_gemma":0.000001126988,"domain_scores_codex":[0.998945,0.00002062934,0.0002631474,0.0002095761,0.0002173056,0.0003443192],"domain_scores_gemma":[0.9995614,0.00008634974,0.00003437403,0.0001305372,0.00004367907,0.0001436978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004523708,0.0008290724,0.5026227,0.001367895,0.0002466134,0.001087963,0.0008503082,0.02102092,0.0005740235,0.01188478,0.04622444,0.4128389],"study_design_scores_gemma":[0.001727872,0.0002588877,0.00615273,0.00009898021,0.00001772416,0.00003000398,0.0005587236,0.02722885,0.002959348,0.002788999,0.9571757,0.00100215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402027,0.001050102,0.05017255,0.0001911703,0.00009964455,0.0003004521,0.002528176,0.0006006875,0.004854556],"genre_scores_gemma":[0.9975166,0.0004160372,0.0007883247,0.0001733445,0.00004697944,0.00005586702,0.0004350314,0.00006586736,0.0005019804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9109513,"threshold_uncertainty_score":0.8171107,"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."}}