{"id":"W3183462631","doi":"10.1002/wer.1615","title":"Digital solutions for continued operation of WRRFs during pandemics and other interruptions","year":2021,"lang":"en","type":"article","venue":"Water Environment Research","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Instrumentation (computer programming); Preparedness; Pandemic; Scheduling (production processes); Risk analysis (engineering); Operations management; Engineering; Computer science; Coronavirus disease 2019 (COVID-19); Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319481,0.0004049848,0.0002120313,0.001161603,0.0008317643,0.001858882,0.001012947,0.001005045,0.01276711],"category_scores_gemma":[0.003545028,0.0001257845,0.0002659512,0.0009760481,0.0003868848,0.002806847,0.002055778,0.0007119023,0.003590303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005225164,"about_ca_system_score_gemma":0.001055268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113495,"about_ca_topic_score_gemma":0.001673813,"domain_scores_codex":[0.9991841,0.0001769076,0.00006101042,0.0001070442,0.0002978265,0.0001731953],"domain_scores_gemma":[0.9980319,0.0003883746,0.0003833056,0.0003126349,0.0006443652,0.0002393624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001557369,0.0001512805,0.006682884,0.0008638559,0.00002515008,0.0004396943,0.001655518,0.001367088,0.01342083,0.009244901,0.03902388,0.9269692],"study_design_scores_gemma":[0.00007741751,0.0009009905,0.02360827,0.001073866,0.00009527685,0.0017261,0.01325848,0.009648723,0.01522271,0.01567922,0.9186109,0.00009803931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3136626,0.03045633,0.2676983,0.05452761,0.002890345,0.001278381,0.003133654,0.01050822,0.3158446],"genre_scores_gemma":[0.8338695,0.01364353,0.09804715,0.003951411,0.0005804818,0.0003323938,0.002237695,0.0002414529,0.04709641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01276711,"threshold_uncertainty_score":0.04271024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429173307098592,"score_gpt":0.3646479900196636,"score_spread":0.2217306593098044,"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."}}