{"id":"W3151028232","doi":"","title":"Low Energy-Consumption Green Buildings","year":2010,"lang":"en","type":"article","venue":"Journal of Tianjin University Science and Technology","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; China; Energy consumption; Legislation; Green consumption; Green building; Consumption (sociology); Architectural engineering; Energy conservation; Green development; Business; Process (computing); Environmental economics; Civil engineering; Engineering; Environmental planning; Environmental protection; Environmental science; Economics; Political science; Production (economics); Computer science; Law","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":[0.0002894747,0.00005487796,0.00008941628,0.000814138,0.0001209178,0.00002352225,0.0003217786,0.00008228853,0.00001834015],"category_scores_gemma":[0.00003382775,0.00005363455,0.00001658319,0.0005976532,0.0003654778,0.0003549161,0.00005673099,0.000229328,0.0000011912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007654226,"about_ca_system_score_gemma":0.0001002768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009039424,"about_ca_topic_score_gemma":0.00001074435,"domain_scores_codex":[0.9995341,0.000003634751,0.00007874061,0.0000780393,0.0001493392,0.0001561324],"domain_scores_gemma":[0.9995826,0.00001365401,0.0000522412,0.00008717445,0.0001967562,0.00006757586],"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":[0.0000101203,0.00002923047,0.004337683,0.00002214517,0.00002058666,0.0001721089,0.00007640373,0.0000648503,0.8691878,0.03011387,0.0009642155,0.09500095],"study_design_scores_gemma":[0.002967092,0.000735172,0.01378379,0.0001671146,0.0001420763,0.002248432,0.004102264,0.01808937,0.6431046,0.02036881,0.2933642,0.0009270522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934084,0.00004390827,0.005286807,0.0005873214,0.0002845011,0.00001787272,6.050776e-7,0.00005659654,0.0003139678],"genre_scores_gemma":[0.9973211,0.00009272939,0.002430442,0.00001297379,0.00002784701,3.287985e-8,5.699413e-8,0.000002923315,0.0001119212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2924,"threshold_uncertainty_score":0.2187153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004115483244727703,"score_gpt":0.1896158326799915,"score_spread":0.1855003494352638,"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."}}