{"id":"W4403286769","doi":"10.1016/j.jhydrol.2024.132136","title":"Wastewater flooding risk assessment for coastal communities: Compound impacts of climate change and population growth","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Flooding (psychology); Environmental science; Climate change; Coastal flood; Hydrology (agriculture); Population; Wastewater; Population growth; Water resource management; Sea level rise; Oceanography; Environmental engineering; Geology","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":[0.0007467413,0.00009679491,0.0002193217,0.0001122725,0.00009494487,0.00003949326,0.0001093457,0.00004307916,0.00008922114],"category_scores_gemma":[0.000006810882,0.00007313945,0.00007116527,0.00006161582,0.00007826407,0.0004005521,0.0001705327,0.0001534578,0.000002247573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005816754,"about_ca_system_score_gemma":0.000005332005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007705006,"about_ca_topic_score_gemma":0.0006446204,"domain_scores_codex":[0.9991263,0.00009725391,0.0003397518,0.00008011756,0.0001625019,0.0001941359],"domain_scores_gemma":[0.9994976,0.0001203629,0.0002404128,0.00007658807,0.00001261684,0.00005244551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002237435,0.0002189954,0.9766523,0.0004031335,0.0002905722,0.00004894788,0.00307264,0.001464479,0.004814779,0.003476225,0.001009692,0.008324446],"study_design_scores_gemma":[0.003432681,0.005023744,0.7969843,0.0003718831,0.0008493111,0.0003357906,0.002468619,0.1668406,0.0009281817,0.01715893,0.005135968,0.0004699366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973799,0.0001477278,0.0008152029,0.0006188822,0.0003342238,0.0001874544,0.00002170787,0.00000831782,0.0004865629],"genre_scores_gemma":[0.9958411,0.001281694,0.00269155,0.00006284336,0.00008634433,0.000006752797,0.00001082681,0.00001117212,0.000007692169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.179668,"threshold_uncertainty_score":0.298254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916919548084451,"score_gpt":0.2841151057424278,"score_spread":0.2649459102615833,"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."}}