{"id":"W4409255345","doi":"10.1007/s13753-025-00634-5","title":"Evolving Interconnections: Themes and Trends in Sustainable Built Environment Responses to the COVID-19 Pandemic","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Natural hazard; Sustainable development; Environmental planning; Geography; Virology; Biology; Outbreak; Medicine; Ecology; Meteorology; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006694734,0.00005861714,0.00006294538,0.0006247035,0.00009444854,0.0001259703,0.0004071402,0.00001744947,0.00002838357],"category_scores_gemma":[0.0003291741,0.00004216444,0.00002360375,0.0003459594,0.00008674632,0.0003734148,0.0001082769,0.0001197761,4.246404e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003210592,"about_ca_system_score_gemma":0.00004915047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006730857,"about_ca_topic_score_gemma":0.00007274378,"domain_scores_codex":[0.9993519,0.00003090103,0.0001998032,0.0000898097,0.0002146745,0.0001128947],"domain_scores_gemma":[0.9996338,0.0001203214,0.00005221528,0.00008333386,0.00005760421,0.00005270931],"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":[0.000058016,0.000019368,0.04956563,0.000003737237,0.00002745407,0.000008029792,0.002336057,0.9262994,0.0004259735,0.001807548,0.000532213,0.01891655],"study_design_scores_gemma":[0.003765114,0.0004208592,0.2323872,0.0005524097,0.0001138871,0.000824803,0.02957894,0.5783612,0.003040593,0.01941399,0.1306258,0.0009151903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011716,0.0005704257,0.09527749,0.00190955,0.0004728978,0.00003805304,0.000002609677,0.00001536653,0.0005420111],"genre_scores_gemma":[0.9982066,0.0002368296,0.0006552173,0.0002696775,0.00003268004,0.000004840919,2.550258e-7,0.000003147588,0.0005908077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3479382,"threshold_uncertainty_score":0.1719416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560136078232273,"score_gpt":0.2940504427093355,"score_spread":0.2784490819270128,"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."}}