{"id":"W7029149914","doi":"","title":"Improve energy and environmental efficiency of a generic office building","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRNSYS; Efficient energy use; Occupancy; Building code; Energy (signal processing); Building science; Ranking (information retrieval); Energy performance; Range (aeronautics); Baseline (sea)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00004030638,0.0000572167,0.00006263937,0.00003049608,0.00001783414,0.000008960452,0.000063347,0.00002098586,0.00002914075],"category_scores_gemma":[0.000006227718,0.0000562501,0.00001635867,0.00004835904,0.00003823216,0.00004560384,0.00003092594,0.00006628429,0.000001456396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007078052,"about_ca_system_score_gemma":0.000003219108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005632275,"about_ca_topic_score_gemma":0.000001573004,"domain_scores_codex":[0.9996268,0.000002131417,0.00006686065,0.0000710727,0.00008311467,0.0001499936],"domain_scores_gemma":[0.9998077,0.00002011925,0.00000643641,0.0001010003,0.000002926049,0.00006188076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001316387,0.00001272441,0.00004855712,0.00001363414,0.00000617928,8.037359e-7,0.00002850455,0.001494024,0.96401,0.000951796,0.00004608902,0.0333864],"study_design_scores_gemma":[0.0001122118,0.00002397192,0.001147192,0.000003159485,0.00000269948,0.000002312614,0.000007508669,0.359946,0.6363287,0.001768415,0.0005783036,0.00007953746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956928,0.0000780124,0.00302239,0.000005634195,0.00007601028,0.00001941757,0.000007234039,0.00004052843,0.001057936],"genre_scores_gemma":[0.9979081,0.00004987896,0.001971968,0.000003060892,0.00004147163,0.000004603795,0.000001139103,0.00001287415,0.000006968462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.358452,"threshold_uncertainty_score":0.2293812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00338920202476361,"score_gpt":0.1756389016209782,"score_spread":0.1722496995962146,"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."}}