{"id":"W4214549248","doi":"10.3390/su14052710","title":"Earthquake Resilience Framework for a Stormwater Pipe Infrastructure System Integrating the Best Worst Method and Dempster–Shafer Theory","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Resilience (materials science); Stormwater; Computer science; Critical infrastructure; Risk analysis (engineering); Natural disaster; Environmental resource management; Civil engineering; Engineering; Environmental planning; Environmental science; Business; Geography; Computer security; Surface runoff","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003034525,0.0003110502,0.0003978742,0.000117004,0.00121615,0.0001314956,0.0004911301,0.0001415699,0.0001252094],"category_scores_gemma":[0.001354562,0.0002172841,0.0001863947,0.0005792504,0.0002691635,0.0002006962,0.0002575212,0.0009704389,8.690179e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000988879,"about_ca_system_score_gemma":0.0001532147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005313183,"about_ca_topic_score_gemma":0.00004061273,"domain_scores_codex":[0.9973488,0.0007439426,0.0004617572,0.0005236854,0.0003351671,0.000586599],"domain_scores_gemma":[0.9973466,0.001385926,0.00008493454,0.0007915178,0.0002869101,0.0001040502],"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":[0.000318641,0.00004882556,0.02621958,0.002186402,0.0002134899,0.00001314971,0.01293013,0.6732815,0.0001793708,0.1512537,0.0003361671,0.1330191],"study_design_scores_gemma":[0.0005785924,0.00035829,0.0246092,0.00008623078,0.0003481084,0.0001038722,0.1724781,0.1781113,0.0006542272,0.6073645,0.01426734,0.00104028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4068227,0.0003227387,0.5909722,0.0004264083,0.0002347922,0.0008718231,0.00006421233,0.0001612615,0.0001237846],"genre_scores_gemma":[0.9896359,0.000003513856,0.009540774,0.0001028534,0.000125248,0.0004590917,0.00001038406,0.00003379611,0.00008846378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5828131,"threshold_uncertainty_score":0.9353762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004502506129399953,"score_gpt":0.2548313928817822,"score_spread":0.2503288867523823,"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."}}