{"id":"W4323636885","doi":"10.1061/jitse4.iseng-2188","title":"Dynamic Resilience Quantification of Hydropower Infrastructure in Multihazard Environments","year":2023,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydropower; Resilience (materials science); Risk analysis (engineering); Interdependence; Hazard; Critical infrastructure; Decision support system; Computer science; Engineering; Environmental resource management; Environmental science; Business; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002302752,0.0005421715,0.000296514,0.0005673446,0.0002854635,0.0006245194,0.0005059017,0.0006083055,0.0008868538],"category_scores_gemma":[0.0007421725,0.0002417854,0.0005123717,0.0003218901,0.0006397296,0.0009248723,0.0009412151,0.0004156142,0.00007794235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007630286,"about_ca_system_score_gemma":0.0006338415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007462458,"about_ca_topic_score_gemma":0.004099036,"domain_scores_codex":[0.9998839,0.00002525538,0.000004952094,0.00003085592,0.00002319058,0.00003175196],"domain_scores_gemma":[0.9997892,0.00009116457,0.00005170332,0.00002000034,0.00002681816,0.00002110542],"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":[0.000009274471,0.000008245213,0.0009205542,0.000009052486,0.000007446933,0.00005269692,0.00001947864,0.9937735,0.00173878,0.001826226,0.00005318463,0.001581592],"study_design_scores_gemma":[9.663827e-7,0.00001049823,0.0004892696,0.000002793807,0.000004093309,0.00001007992,0.00001873027,0.9981876,0.0004202424,0.0007578197,0.00009386094,0.000004029072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6079042,0.0002445806,0.3824005,0.0001930803,0.00002800951,0.00007114619,0.0003615094,0.0003039295,0.008493009],"genre_scores_gemma":[0.9945116,0.00008479875,0.00463342,0.00000760061,0.000002622736,0.00002366068,0.00005422422,0.00001008604,0.0006719725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007462458,"threshold_uncertainty_score":0.0148381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00458022081842644,"score_gpt":0.2461496007645438,"score_spread":0.2415693799461174,"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."}}