{"id":"W3003889835","doi":"","title":"Pavement Flooding Risk Assessment and Management in the Changing Climate","year":2020,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Flooding (psychology); Environmental science; Risk assessment; Climate change; Environmental resource management; Environmental planning; Water resource management; Engineering; Geography; Computer science; Geology; Psychology; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005698305,0.000241142,0.0002673293,0.0001814225,0.0003600451,0.0000487986,0.0004550111,0.00008326311,0.0002980533],"category_scores_gemma":[0.000001294479,0.0002214077,0.0000877166,0.0003306592,0.0000620198,0.0002052695,0.000508009,0.0002531857,0.00005476084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637007,"about_ca_system_score_gemma":0.000005779234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00921757,"about_ca_topic_score_gemma":0.03353611,"domain_scores_codex":[0.9983514,0.0001173155,0.0001489865,0.0004651635,0.0004950604,0.0004220956],"domain_scores_gemma":[0.9994069,0.00002110546,0.0002427516,0.000263907,0.000006121153,0.00005925867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003107562,0.0008247676,0.1121079,0.002633438,0.0009358169,0.0009009779,0.777197,0.002213619,0.001157573,0.009208581,0.008334659,0.08417494],"study_design_scores_gemma":[0.001367999,0.0001966188,0.288546,0.0002332124,0.0006301627,7.878497e-7,0.6974733,0.005144431,0.00009028627,0.0002879067,0.005493517,0.0005358469],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988108,0.00005038047,0.00005356223,0.001152157,0.0001586836,0.0009054968,0.00001211294,0.00003067425,0.009528882],"genre_scores_gemma":[0.9106716,0.013935,0.01375821,0.0002070134,0.00004747018,0.00001535998,0.0005046931,0.00005551117,0.06080516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1764381,"threshold_uncertainty_score":0.9973801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008334760302680575,"score_gpt":0.2165979337920817,"score_spread":0.2082631734894012,"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."}}