{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138355,0.001199532,0.001954793,0.0006017677,0.0006342312,0.002587169,0.002065514,0.003712221,0.00161608],"category_scores_gemma":[0.001993183,0.0005334261,0.001319839,0.001093627,0.00115244,0.001982818,0.001301932,0.0019083,0.0005290855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349607,"about_ca_system_score_gemma":0.001932066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02717689,"about_ca_topic_score_gemma":0.01294124,"domain_scores_codex":[0.9994878,0.0001459956,0.00005319205,0.00009023093,0.0001703712,0.00005245005],"domain_scores_gemma":[0.9991744,0.000504929,0.00007550669,0.00004120776,0.000173301,0.00003061752],"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":[0.00002041331,0.00004576088,0.0004154817,0.0003367157,0.00002627871,0.00009575098,0.00008712176,0.9426832,0.00111115,0.02949348,0.002718172,0.02296644],"study_design_scores_gemma":[0.000009173081,0.00003052624,0.0001808704,0.00003996879,0.000009438173,0.00002993875,0.00004008583,0.964311,0.0002786085,0.02700652,0.008043384,0.00002038426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03982102,0.03609037,0.868314,0.01250761,0.00108461,0.0002028022,0.001369631,0.0009330278,0.03967688],"genre_scores_gemma":[0.7245139,0.04907146,0.1833181,0.001373969,0.001621353,0.001314736,0.001743872,0.0003219529,0.03672068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02717689,"threshold_uncertainty_score":0.05403739,"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."}}