{"id":"W2609757038","doi":"10.1007/s10098-017-1359-4","title":"Rethinking investment planning and optimizing net zero emission buildings","year":2017,"lang":"en","type":"article","venue":"Clean Technologies and Environmental Policy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; FortisBC; U.S. Environmental Protection Agency; U.S. Department of Energy","keywords":"Greenhouse gas; Zero-energy building; Zero emission; Climate change mitigation; Investment (military); Environmental economics; Efficient energy use; Business; Carbon footprint; Climate change; Natural resource economics; Environmental resource management; Engineering; Environmental science; Economics; Waste management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002083814,0.001011891,0.001298347,0.0005043035,0.0003899491,0.002819666,0.001438426,0.001711107,0.004677487],"category_scores_gemma":[0.006087924,0.0009955956,0.0005204371,0.0007370471,0.0009216153,0.00322367,0.001002313,0.002107956,0.0002559586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002488153,"about_ca_system_score_gemma":0.002916252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008632042,"about_ca_topic_score_gemma":0.01817129,"domain_scores_codex":[0.9988307,0.0006866984,0.00002970721,0.0001291498,0.0001515142,0.0001723592],"domain_scores_gemma":[0.9984725,0.001151487,0.0000898479,0.00008188526,0.0001324557,0.00007172575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005486497,0.00003719114,0.0004784979,0.00005059322,0.00002787396,0.00002895665,0.00004711428,0.9616266,0.0003713044,0.02452673,0.0006100761,0.0121402],"study_design_scores_gemma":[0.00001590653,0.00004100493,0.0003512485,0.00001912915,0.00002218261,0.000006759148,0.0001069503,0.953497,0.0003978295,0.04429051,0.001242723,0.000008863321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3024365,0.002233444,0.6315897,0.005565903,0.0002706959,0.0002609369,0.0004151416,0.00048759,0.05674014],"genre_scores_gemma":[0.9673371,0.0002814629,0.02842057,0.0001246213,0.00002208188,0.00004305626,0.00005765676,0.00008107183,0.003632467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008632042,"threshold_uncertainty_score":0.01805288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273744255660321,"score_gpt":0.2162316583151773,"score_spread":0.203494215758574,"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."}}