{"id":"W1766904599","doi":"","title":"INSTITUTIONAL EFFECT ANALYSIS COMPARING ENERGY EFFICIENCY RETROFITTING FOR EXISTING RESIDENTIAL BUILDINGS PATTERNS IN CHINA","year":2013,"lang":"en","type":"article","venue":"","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Retrofitting; China; Business; Beijing; Government (linguistics); Incentive; Sustainability; Energy consumption; Central government; Efficient energy use; Local government; Environmental economics; Environmental planning; Economic growth; Engineering; Geography; Economics; Political science; Public administration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004438125,0.0002034371,0.0003455196,0.0005634093,0.0001569281,0.0001639025,0.0001925484,0.00007028912,0.00008861134],"category_scores_gemma":[0.0001212238,0.0001956776,0.0001529642,0.0007373389,0.00002020836,0.0002487252,0.00005611014,0.0001326839,0.000003227298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836024,"about_ca_system_score_gemma":0.00002421007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002304141,"about_ca_topic_score_gemma":0.0001201939,"domain_scores_codex":[0.9985958,0.00003764651,0.0003845467,0.0002883998,0.0002071863,0.0004863655],"domain_scores_gemma":[0.9994432,0.0002262883,0.00004844389,0.0001628576,0.00004467313,0.00007453933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001242601,0.00003840675,0.2636433,0.0002423673,0.0002636591,0.00001363431,0.0001621803,0.7094525,0.006170506,0.0106456,0.000315062,0.009040336],"study_design_scores_gemma":[0.0006309349,0.00004291212,0.08809263,0.00008674679,0.00009040291,0.000002302972,0.00009709154,0.9048371,0.005468176,0.0002649505,0.0001038792,0.0002828078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.564961,0.00004237127,0.4326422,0.00001301102,0.0001122049,0.0001605454,9.395582e-7,0.000156906,0.001910864],"genre_scores_gemma":[0.9952071,0.000004466016,0.004269224,0.00001570023,0.0001152144,0.0001629367,0.00002561739,0.00002353402,0.0001762576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4302461,"threshold_uncertainty_score":0.7979502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009110404943574,"score_gpt":0.2461423742697231,"score_spread":0.2360512702202874,"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."}}