{"id":"W4362466051","doi":"10.33423/jsis.v18i1.5949","title":"Net-Positive Energy Buildings: Empirical Insights Towards Achieving the SDGs","year":2023,"lang":"en","type":"article","venue":"Journal of Strategic Innovation and Sustainability","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sustainability; Environmental economics; Energy consumption; Electricity; Zero-energy building; Consumption (sociology); Sustainable development; Efficient energy use; Architectural engineering; Business; Environmental resource management; Production (economics); Energy (signal processing); Natural resource economics; Engineering; Environmental science; Economics; Political science","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":[0.005631483,0.0002837643,0.0001588889,0.001238386,0.0007009659,0.003133677,0.0006512669,0.0005918254,0.00308009],"category_scores_gemma":[0.01616261,0.0001828184,0.0001566952,0.002055338,0.002284063,0.004302741,0.002148971,0.001130224,0.0002960113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002355584,"about_ca_system_score_gemma":0.002242598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005243759,"about_ca_topic_score_gemma":0.01396271,"domain_scores_codex":[0.9972012,0.00135434,0.0001047726,0.0001970164,0.000749902,0.0003929012],"domain_scores_gemma":[0.9816534,0.01343818,0.001795819,0.0005179295,0.002046915,0.0005477828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002387614,0.001236073,0.4834609,0.0009867861,0.00006321275,0.000917119,0.117923,0.006579853,0.001670748,0.250548,0.004030816,0.1323447],"study_design_scores_gemma":[0.00001894445,0.0005255459,0.4030705,0.001264719,0.00005150234,0.0004168284,0.486716,0.0122498,0.003519011,0.04588918,0.04622257,0.00005547423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528376,0.0003912207,0.004285461,0.001337233,0.000008414549,0.00008173464,0.0002269547,0.000007643755,0.04082379],"genre_scores_gemma":[0.9979224,0.0002403604,0.001083044,0.00005370208,0.000002776331,0.00002398396,0.00008428099,0.000003735938,0.0005857179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005631483,"threshold_uncertainty_score":0.02978247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373851229505345,"score_gpt":0.2693256192594169,"score_spread":0.2455871069643634,"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."}}