{"id":"W2757736315","doi":"10.11159/icesdp18.1","title":"New Approaches in Urban Water Systems Engineering","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Computer science; Environmental planning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007376914,0.0002657125,0.0002486479,0.0001794279,0.00004792572,0.00007539747,0.0002088435,0.00006660321,0.00001576359],"category_scores_gemma":[0.000003879583,0.0001871067,0.00004465351,0.0001296301,0.00003907614,0.0002426898,0.0000881525,0.0001718222,0.000002644121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008909279,"about_ca_system_score_gemma":0.000001496652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001965369,"about_ca_topic_score_gemma":0.00002879084,"domain_scores_codex":[0.9989952,0.000001977869,0.0002930541,0.0002166886,0.0001768459,0.0003162605],"domain_scores_gemma":[0.9997539,0.00001128807,0.00003879904,0.0001089147,0.000004440231,0.00008269276],"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":[0.00002381948,0.000009926071,0.01026763,0.0007473154,0.0001072091,0.000001338417,0.001208875,0.9305522,0.05154442,0.003588235,0.001651668,0.0002973787],"study_design_scores_gemma":[0.0006326844,0.00005128244,0.01154824,0.0005581832,0.00002628597,0.00002498175,0.0001312521,0.8737505,0.1090025,0.00003091969,0.003709741,0.0005334463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956385,0.0003938173,0.0002563491,0.00004120258,0.001842811,0.0003820856,0.000009436723,0.0001534305,0.001282312],"genre_scores_gemma":[0.9984145,0.00001676928,0.0003982283,0.000004037862,0.0002163483,0.00001661241,0.000003584916,0.00005279048,0.0008771655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05745809,"threshold_uncertainty_score":0.7629992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007025200260587029,"score_gpt":0.1548691884507959,"score_spread":0.1478439881902089,"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."}}