{"id":"W4366245797","doi":"10.1016/j.cej.2023.143057","title":"Adsorptive membranes for nutrient recovery from wastewater: A novel solution for water purification challenges","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Ministry of the Environment, Conservation and Parks; University of Toronto","funders":"","keywords":"Membrane; Phosphate; Polyacrylonitrile; Chemistry; Adsorption; Zeolite; Wastewater; Ammonium; Leaching (pedology); Portable water purification; Chemical engineering; Chromatography; Environmental engineering; Polymer; Organic chemistry; Catalysis; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003785682,0.0001308687,0.0001445175,0.00005340712,0.00007975132,0.00005025117,0.0002036362,0.00007036234,0.00005233894],"category_scores_gemma":[0.00008749481,0.00009988368,0.0001303232,0.00008055047,0.00001881868,0.0002151753,0.00009692078,0.0001007777,0.00006112307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781341,"about_ca_system_score_gemma":0.000002975891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004137324,"about_ca_topic_score_gemma":2.031545e-7,"domain_scores_codex":[0.9989132,0.000004357916,0.0002526728,0.0002570167,0.0002151059,0.0003576654],"domain_scores_gemma":[0.9995874,0.00009749561,0.00005484961,0.0001357564,0.00001734185,0.0001072088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001127993,0.00006885067,0.000005393499,0.00004641342,0.00004140058,9.072521e-7,0.0003526917,0.01237167,0.9807423,0.00008504428,0.002012038,0.00416043],"study_design_scores_gemma":[0.001014145,0.00007469707,0.0001391287,0.00004069594,0.00003173827,0.000005069738,0.00005173344,0.112595,0.8054461,0.003221564,0.07716922,0.0002108627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6080546,0.0004713678,0.3857083,0.003786504,0.0009774446,0.0007160884,0.00006516519,0.0001482154,0.00007231365],"genre_scores_gemma":[0.9704611,0.001288607,0.02633553,0.00006203505,0.0007123601,0.0004086979,0.0001988853,0.00006708279,0.00046575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3624065,"threshold_uncertainty_score":0.4073139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979827806743164,"score_gpt":0.2045067485900043,"score_spread":0.1847084705225726,"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."}}