{"id":"W4293530473","doi":"10.3390/en15176253","title":"Techniques of Improving Infrastructure and Energy Resilience in Urban Setting","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; University of Calgary","funders":"","keywords":"Resilience (materials science); Unavailability; Vulnerability (computing); Work (physics); Sustainability; Environmental economics; Scale (ratio); Population; Electricity; Energy (signal processing); Business; Civil engineering; Environmental resource management; Computer science; Engineering; Environmental science; Reliability engineering; Geography; Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006512291,0.0006993781,0.0004304459,0.001385407,0.000731387,0.0006959679,0.0008457603,0.0004782816,0.003163012],"category_scores_gemma":[0.001984968,0.0003031508,0.0006904464,0.001079184,0.0009480444,0.001328291,0.002102201,0.0006418675,0.000540544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005607845,"about_ca_system_score_gemma":0.0005573144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453192,"about_ca_topic_score_gemma":0.001760676,"domain_scores_codex":[0.99953,0.0001567253,0.00001749497,0.00008992443,0.0001187568,0.00008706853],"domain_scores_gemma":[0.9991605,0.0003308794,0.000143388,0.0002336927,0.00009338403,0.00003812256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001594187,0.0002100844,0.005329199,0.0003052245,0.0001115608,0.0006488653,0.0007623026,0.5517592,0.03894608,0.1217547,0.002699799,0.2773136],"study_design_scores_gemma":[0.00003981553,0.0004244113,0.004725606,0.0001007507,0.0001108733,0.0009033749,0.001176862,0.8313131,0.04451022,0.09221641,0.02437813,0.0001004901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06259959,0.0003348963,0.9238447,0.0003600869,0.00003929748,0.0001255507,0.00007842107,0.0009576656,0.01165984],"genre_scores_gemma":[0.7491149,0.0003788482,0.2467889,0.00006215546,0.00002603,0.0001361564,0.00008860396,0.0001031188,0.003301316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003163012,"threshold_uncertainty_score":0.01058131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002439694289763077,"score_gpt":0.1918888710624269,"score_spread":0.1894491767726638,"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."}}