{"id":"W4309696475","doi":"10.1109/coniiti57704.2022.9953665","title":"Flooding Risk Assessment of the Sewerage Risk Management Unit 251 of Zone 2 of Bogota, Colombia","year":2022,"lang":"es","type":"article","venue":"","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sewerage; Flooding (psychology); Rainwater harvesting; Water resource management; Vulnerability (computing); Unit (ring theory); Population; Geography; Environmental science; Flood risk assessment; Hydrology (agriculture); Flood myth; Environmental engineering; Engineering; Environmental health; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00184064,0.0002487155,0.0004782648,0.00009124754,0.0005014716,0.00001810873,0.0009269689,0.00006662241,0.01485744],"category_scores_gemma":[0.00002742639,0.0002034157,0.0002036926,0.0006685203,0.0005396562,0.0001693279,0.002391541,0.000451586,0.0000248163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004049485,"about_ca_system_score_gemma":0.00004018394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009675538,"about_ca_topic_score_gemma":0.0001187322,"domain_scores_codex":[0.9960118,0.0007715127,0.0009329231,0.0004339086,0.001354382,0.0004954549],"domain_scores_gemma":[0.9977803,0.0001436116,0.001060711,0.0008322129,0.000008743485,0.0001744304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003372912,0.001127431,0.9633564,0.0002618722,0.0001573582,0.000003015257,0.0008177654,0.01624907,0.00160404,0.001540716,0.00096354,0.01388511],"study_design_scores_gemma":[0.000818999,0.0004935657,0.9552621,0.00004253894,0.0001759534,0.000001458522,0.003845977,0.004211094,0.002707247,0.0002109927,0.03203367,0.0001963954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423801,0.0001726849,0.0002772849,0.0002973373,0.0002779684,0.0008145763,0.0005631207,0.00001265863,0.05520431],"genre_scores_gemma":[0.9928239,0.002086987,0.002320569,0.0001086266,0.00001385524,0.0000509455,0.00001271269,0.00002256228,0.002559818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05264449,"threshold_uncertainty_score":0.9969191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009056223984171998,"score_gpt":0.2617475803138655,"score_spread":0.2526913563296935,"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."}}