{"id":"W4388709059","doi":"10.1007/978-3-031-43177-7","title":"Disaster Risk Reduction for Resilience","year":2023,"lang":"en","type":"book","venue":"","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Tarbiat Modares University; Isfahan University of Technology; Sultan Qaboos University; Swinburne University of Technology; CRDF Global","keywords":"Resilience (materials science); Disaster risk reduction; Reduction (mathematics); Risk analysis (engineering); Business; Computer science; Environmental planning; Geography; Materials science; Mathematics","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":[0.0005325919,0.0006731889,0.0003208885,0.0009011101,0.001353821,0.003598727,0.0006435022,0.001549544,0.04173024],"category_scores_gemma":[0.001060753,0.0001704905,0.0003663535,0.0007147538,0.002307635,0.003356239,0.002081404,0.002073932,0.005804552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700453,"about_ca_system_score_gemma":0.001528434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002171591,"about_ca_topic_score_gemma":0.005339134,"domain_scores_codex":[0.999637,0.0000769947,0.000009994656,0.00004418108,0.0001877353,0.00004413194],"domain_scores_gemma":[0.9997471,0.0001224983,0.00001689121,0.00003116169,0.00005687722,0.00002549555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001084364,0.00002791963,0.0001010534,0.0001333464,0.00001064077,0.0001208289,0.0006991596,0.001454515,0.0004473518,0.6925389,0.2163662,0.08808927],"study_design_scores_gemma":[0.000002015203,0.00001357036,0.0001320215,0.0001332213,0.000003507299,0.0001385338,0.0004166797,0.0003766344,0.0001415068,0.1458355,0.8528001,0.000006521726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001538923,0.02386134,0.009389685,0.0264114,0.002966209,0.00004647996,0.0001087398,0.0001658796,0.9355114],"genre_scores_gemma":[0.06659051,0.03711142,0.01075779,0.008053017,0.002485772,0.00007423273,0.0001449348,0.0002885613,0.8744937],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04173024,"threshold_uncertainty_score":0.1396016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007600895749898976,"score_gpt":0.2241069462691237,"score_spread":0.2165060505192248,"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."}}