{"id":"W2286184498","doi":"","title":"Resource recovery from wastewater and sludge: modelling and control challenges","year":2014,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Resource recovery; Resource (disambiguation); Wastewater; Process (computing); Biosolids; Environmental science; Control (management); Waste management; Sewage treatment; Risk analysis (engineering); Environmental economics; Computer science; Process engineering; Business; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002293873,0.0003319403,0.0003229337,0.003622587,0.0004172739,0.00003990913,0.0004285081,0.0003174016,0.0001405781],"category_scores_gemma":[0.000002619595,0.0003534369,0.0001712221,0.002700977,0.000443047,0.0008079096,0.0004980832,0.0004072518,0.00003760938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008213272,"about_ca_system_score_gemma":0.000005440935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000603753,"about_ca_topic_score_gemma":0.00002494237,"domain_scores_codex":[0.9979671,0.0002569287,0.0001535386,0.0007958389,0.0003395335,0.0004870182],"domain_scores_gemma":[0.9990285,0.0001614647,0.0001312481,0.0002889163,0.00001387271,0.0003759856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00781349,0.001067053,0.844004,0.0002491773,0.003683999,0.00106016,0.008551615,0.01678919,0.04805169,0.01077731,0.02667643,0.03127586],"study_design_scores_gemma":[0.01349871,0.0007826306,0.06380244,0.0002204642,0.001706665,0.00004144653,0.006576494,0.008818987,0.003367652,0.00573833,0.8932529,0.002193252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877926,0.0008438347,0.00275514,0.0009228724,0.00007136633,0.0002669486,0.00006132713,0.0001244837,0.007161439],"genre_scores_gemma":[0.9749751,0.02162036,0.001834083,0.0001391843,0.00006221847,2.193818e-7,0.00002562884,0.00002247395,0.001320694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665765,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426822843765278,"score_gpt":0.1675730788152648,"score_spread":0.153304850377612,"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."}}