{"id":"W4407831252","doi":"10.1002/aws2.70017","title":"Robustness and Related Concepts for Climate Adaptation in Drinking Water Treatment Systems","year":2025,"lang":"en","type":"article","venue":"AWWA Water Science","topic":"Water resources management and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Robustness (evolution); Vulnerability (computing); Risk analysis (engineering); Climate change; Environmental resource management; Environmental science; Computer science; Psychological resilience; Bridging (networking); Environmental planning; Reliability engineering; Engineering; Business; Computer security; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002601168,0.00009109927,0.00009979983,0.0002100616,0.0001162358,0.000162238,0.0001003372,0.000029195,0.000002487642],"category_scores_gemma":[0.000001907515,0.00005743628,0.00001293676,0.0001628681,0.00005739856,0.0004128796,0.00004564939,0.00002413543,0.00000296658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008269877,"about_ca_system_score_gemma":0.000003558035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002490821,"about_ca_topic_score_gemma":0.00001097506,"domain_scores_codex":[0.999251,0.00001014225,0.0001683744,0.0001920419,0.00007707141,0.0003013655],"domain_scores_gemma":[0.9998367,0.000008843446,0.000009106469,0.00009953151,0.00002396235,0.00002183],"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":[0.00000472881,0.000005465989,0.0005728982,0.00006594367,0.000006954603,0.000001615222,0.002834774,0.9914862,0.003763148,0.0003231194,0.000003611808,0.0009315595],"study_design_scores_gemma":[0.0004759264,0.00002182822,0.0002400688,0.00005388708,0.00001221919,7.482802e-7,0.0002650109,0.9746438,0.0235296,0.00005277609,0.0006128649,0.00009129444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964605,0.0001051395,0.0328547,0.0001108224,0.0005065725,0.0004987904,8.040856e-7,0.0001216658,0.001196532],"genre_scores_gemma":[0.9988692,0.0000370532,0.0005214678,0.00000790434,0.000008730734,0.00006826156,0.00001637985,0.000007374476,0.0004636309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03426422,"threshold_uncertainty_score":0.2342183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096722406493287,"score_gpt":0.2257973785528818,"score_spread":0.214830154487949,"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."}}