{"id":"W2349311044","doi":"","title":"A Commercial Operation Method of Building Energy Efficiency Renovation","year":2010,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metering mode; Enthusiasm; Efficient energy use; Sustainable development; Energy (signal processing); Architectural engineering; Environmental economics; Engineering; Civil engineering; Mechanical engineering; Electrical engineering; Economics","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":[0.002542266,0.000127306,0.0002293134,0.0003361818,0.0002616092,0.00006220919,0.0003737088,0.0001112275,0.0005727482],"category_scores_gemma":[0.0004073375,0.0001173496,0.00003210035,0.0005608659,0.0001250118,0.0002349394,0.0002064272,0.0001770958,0.00001324657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003830295,"about_ca_system_score_gemma":0.00005284762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955285,"about_ca_topic_score_gemma":0.0007353275,"domain_scores_codex":[0.997878,0.0003568504,0.0004344077,0.0003435592,0.0005571061,0.0004301413],"domain_scores_gemma":[0.9988204,0.0002331968,0.0001023178,0.000446157,0.0003425347,0.00005540026],"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":[0.00005568103,0.00005045857,0.000001372398,0.00001940969,0.000004769866,0.000001241692,0.00007839192,0.005418801,0.5681673,0.3923331,0.00004413528,0.03382542],"study_design_scores_gemma":[0.0003927864,0.0001249917,0.0001020205,0.00002076455,0.000004156472,0.000002034239,0.00005454248,0.000871765,0.9585156,0.006771358,0.0330187,0.0001212578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8469566,0.00002787653,0.1353184,0.0002747146,0.001126662,0.0002242939,0.000008670132,0.00008431446,0.01597856],"genre_scores_gemma":[0.9623052,0.0000363966,0.03654546,0.00005222843,0.0001913805,0.00009620491,0.00003470489,0.00002581865,0.0007126094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3903484,"threshold_uncertainty_score":0.6271191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04065324407754122,"score_gpt":0.404098762683728,"score_spread":0.3634455186061867,"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."}}