{"id":"W2924617663","doi":"10.1016/s0958-2118(19)30056-4","title":"ZeeWeed MBR helps city in Canada meet wastewater effluent limits for phosphorous","year":2019,"lang":"en","type":"article","venue":"Membrane Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Membrane bioreactor; Wastewater; Flexibility (engineering); Waste management; Environmental science; Reliability (semiconductor); Engineering; Environmental engineering; Sewage treatment; Management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172187,0.000229864,0.0003307362,0.0000989036,0.00005293502,0.00001027001,0.0003941741,0.0001606944,0.0008508239],"category_scores_gemma":[0.00001272527,0.000192167,0.00005518629,0.000320786,0.00008036851,0.00008157655,0.00016702,0.0001264787,0.0002917217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007531713,"about_ca_system_score_gemma":0.00006647492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3659686,"about_ca_topic_score_gemma":0.703796,"domain_scores_codex":[0.9984096,0.00002042769,0.0002647782,0.0004789103,0.0002102854,0.0006160223],"domain_scores_gemma":[0.999402,0.00003617749,0.00006349057,0.0004217975,0.000006925566,0.00006953876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002207782,0.0001836679,0.528275,0.00004168333,0.00005857776,0.0001086898,0.0001206364,0.0004553603,0.4656897,0.0001700535,0.001343971,0.003331845],"study_design_scores_gemma":[0.002030409,0.0001990802,0.008559613,0.0000156205,0.0000207768,0.00004075257,0.0001473121,0.000352359,0.9786661,0.0005211259,0.009143037,0.0003038466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965928,0.00008039644,0.000002461654,0.001102307,0.0002533791,0.0007845773,0.00001621237,0.00008979814,0.00107804],"genre_scores_gemma":[0.9966317,0.000008535157,0.001352054,0.0001506916,0.00001130875,0.00009463367,0.00001479415,0.00002529915,0.00171101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5197154,"threshold_uncertainty_score":0.9315926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006765954440487834,"score_gpt":0.1882910182942593,"score_spread":0.1815250638537715,"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."}}