{"id":"W2791886564","doi":"10.6028/nist.tn.1795","title":"Developing Guidelines and Standards for Disaster Resilience of the Built Environment: A Research Needs Assessment","year":2013,"lang":"en","type":"report","venue":"","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University at Buffalo; Federal Highway Administration; National Institute of Standards and Technology; University of Waterloo; Bonneville Power Administration; Rice University; U.S. Department of Homeland Security","keywords":"Resilience (materials science); Computer science; Environmental resource management; Environmental planning; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003886928,0.0002718736,0.0005057539,0.0002708629,0.0002033216,0.00008148064,0.0004455927,0.0002681608,0.0002172879],"category_scores_gemma":[0.0008149021,0.0001674034,0.0001684408,0.0003624111,0.0003383937,0.0001216171,0.0002648239,0.000462103,0.000001309969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009706225,"about_ca_system_score_gemma":0.001269032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003520242,"about_ca_topic_score_gemma":0.0001430145,"domain_scores_codex":[0.9961041,0.00008399978,0.0007682498,0.0003183485,0.00230835,0.0004170163],"domain_scores_gemma":[0.997343,0.0002713882,0.0001103287,0.0006906642,0.00152038,0.00006423519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004543617,0.00007746255,0.01909048,0.01568511,0.001875167,0.000003618185,0.002105168,0.24571,0.00734451,0.008244722,0.3932776,0.3065407],"study_design_scores_gemma":[0.0004184847,0.0001262143,0.009770356,0.00126379,0.0002847036,0.00002402733,0.002669141,0.05508949,0.005495529,0.006110934,0.9177638,0.0009835332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08567914,0.00612758,0.8188955,0.00214198,0.001324566,0.004133366,0.0006342215,0.0001538918,0.08090983],"genre_scores_gemma":[0.8808914,0.01769983,0.08522957,0.0001003565,0.0009751872,0.0007949196,0.00005797533,0.0001977649,0.01405297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7952123,"threshold_uncertainty_score":0.6826513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005892970582818,"score_gpt":0.407400794403657,"score_spread":0.3068114973453752,"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."}}