{"id":"W3083801659","doi":"10.32393/csme.2020.115","title":"Net Zero Energy Building Design in Tropical Climatic Conditions of Mumbai, India","year":2020,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 3","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zero-energy building; Tropical climate; Tropics; Environmental science; Zero (linguistics); Climatology; Energy (signal processing); Water resource management; Geography; Mathematics; Geology; Statistics; Ecology; Biology","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":[0.0001074787,0.0001930091,0.0003102246,0.0003190373,0.00002135782,0.00002403593,0.0002528812,0.000212456,0.00006882419],"category_scores_gemma":[0.00007998553,0.0002387627,0.00005143557,0.0006826904,0.0000248414,0.0001160707,0.00002702199,0.0002923302,0.000001850778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344004,"about_ca_system_score_gemma":0.00009652772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185206,"about_ca_topic_score_gemma":0.003522276,"domain_scores_codex":[0.9986592,0.00003084552,0.0004212445,0.000217554,0.0001431321,0.0005280538],"domain_scores_gemma":[0.999333,0.00005542795,0.00003096067,0.0001553488,0.00001898889,0.0004062267],"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":[0.000005626799,0.00001571137,0.002109941,0.0000879959,0.00001875459,0.00004231766,0.0000503627,0.964512,0.0001602909,0.03140515,0.0001816275,0.001410247],"study_design_scores_gemma":[0.0003276942,0.00005436377,0.001519188,0.00009681463,0.000008676398,0.000003847222,0.000004832879,0.9951653,0.000870428,0.000384386,0.001326558,0.0002378955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09950624,0.001763386,0.8959196,0.0007910222,0.0006134471,0.0005280523,0.00007498257,0.000593257,0.0002100775],"genre_scores_gemma":[0.9772934,0.00003624687,0.02231874,0.0001202906,0.0000449199,0.0001059412,0.00002353554,0.00005379461,0.000003105576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8777872,"threshold_uncertainty_score":0.9736462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009441909152661965,"score_gpt":0.2023090912061062,"score_spread":0.1928671820534442,"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."}}