{"id":"W2001732627","doi":"10.2166/wst.2007.589","title":"Solving the inverse problem for aggregation in activated sludge flocculation using a population balance framework","year":2007,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; Universiteit Gent; Canada Research Chairs","keywords":"Flocculation; Inverse problem; Similarity (geometry); Population; Inverse; Mathematical optimization; Property (philosophy); Balance (ability); Mathematics; Computer science; Applied mathematics; Biological system; Engineering; Environmental engineering; Artificial intelligence; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002628276,0.0006505583,0.001217099,0.0006874206,0.000717084,0.001076809,0.0009303945,0.001630158,0.001089924],"category_scores_gemma":[0.004720502,0.0005673633,0.001273863,0.0003863292,0.001342882,0.001313217,0.001324088,0.001211857,0.0001379041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009487469,"about_ca_system_score_gemma":0.001417685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008955895,"about_ca_topic_score_gemma":0.003649472,"domain_scores_codex":[0.9995257,0.0001785533,0.00002679512,0.00008584968,0.0001356455,0.00004755823],"domain_scores_gemma":[0.9986143,0.001022104,0.0001337809,0.00004972682,0.0001354245,0.00004459384],"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":[0.00002363483,0.00002847427,0.0009016649,0.00006640035,0.00003410417,0.0001599241,0.0001380586,0.946578,0.002576692,0.04019159,0.0002599292,0.009041496],"study_design_scores_gemma":[0.000008512899,0.000009877734,0.00008493675,0.000002577978,0.000005103339,0.00001527396,0.00001214999,0.9884667,0.0003014551,0.01083944,0.0002486629,0.000005357515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06026182,0.0002704301,0.9361356,0.0006311513,0.00004591149,0.00005557861,0.00004043796,0.00006747001,0.002491662],"genre_scores_gemma":[0.6630793,0.0005976945,0.3260278,0.0002514364,0.0001568803,0.0005172894,0.0001904173,0.0001258585,0.009053363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008955895,"threshold_uncertainty_score":0.01780754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206284319081351,"score_gpt":0.2802628472295414,"score_spread":0.2596344153214063,"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."}}