{"id":"W4292242469","doi":"10.1016/j.heliyon.2022.e10307","title":"Water demand profile before and during COVID-19 pandemic in a Brazilian social housing complex","year":2022,"lang":"en","type":"article","venue":"Heliyon","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Pandemic; Consumption (sociology); Descriptive statistics; Log-normal distribution; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Distribution (mathematics); Geography; Environmental science; Socioeconomics; Statistics; Agricultural economics; Economics; Mathematics; Sociology; Social science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002594636,0.0002071988,0.0003153308,0.0005093184,0.0004971696,0.0004676153,0.0002705635,0.0003727953,0.0008272006],"category_scores_gemma":[0.0008885615,0.0001593752,0.0002723633,0.0007604039,0.0003734736,0.0003367121,0.0005743281,0.000204135,0.0001469118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280679,"about_ca_system_score_gemma":0.0005790893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1040356,"about_ca_topic_score_gemma":0.1861755,"domain_scores_codex":[0.9997641,0.00004800187,0.00001824307,0.0000524073,0.00004312099,0.00007412813],"domain_scores_gemma":[0.9997011,0.00005774387,0.00007462862,0.00001856222,0.00008967596,0.00005834992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002318018,0.0001193732,0.9786077,0.00005389416,0.00003761397,0.0007505759,0.005883444,0.001123871,0.004700302,0.0001858954,0.0004762925,0.007829315],"study_design_scores_gemma":[0.00000289734,0.0001381231,0.9881641,0.00001312544,0.00001061813,0.0001460019,0.008611212,0.00160776,0.0003889166,0.0000486463,0.0008547977,0.0000139869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993696,0.0000176456,0.00005442106,0.00003182922,0.00000100185,0.000004534619,0.0002012678,0.000001890577,0.0003180251],"genre_scores_gemma":[0.9994362,0.00002958559,0.00007682574,0.000009834266,0.000001422555,0.000007673666,0.0002428763,0.000001819982,0.0001936848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1040356,"threshold_uncertainty_score":0.2068601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703997270431955,"score_gpt":0.2580740346481408,"score_spread":0.2310340619438212,"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."}}