{"id":"W3125669120","doi":"10.1038/s41545-020-00097-9","title":"Phosphorus removal and recovery from wastewater via hybrid ion exchange nanotechnology: a study on sustainable regeneration chemistries","year":2021,"lang":"en","type":"article","venue":"npj Clean Water","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fulbright Canada","keywords":"Phosphorus; Desorption; Chemistry; Adsorption; Wastewater; Ion exchange; Nanoparticle; Sewage treatment; Tap water; Pulp and paper industry; Chemical engineering; Environmental chemistry; Nanotechnology; Environmental science; Materials science; Environmental engineering; Ion; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002195339,0.0001892138,0.0001756608,0.00002971504,0.000223057,0.00009601968,0.0001329487,0.00007123924,0.0008543672],"category_scores_gemma":[0.00001431074,0.0001446084,0.00003943525,0.00009796531,0.00007957967,0.0001986123,0.0005817457,0.0001261641,0.0002508182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015428,"about_ca_system_score_gemma":0.000003925106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005412144,"about_ca_topic_score_gemma":0.00003778305,"domain_scores_codex":[0.9984994,0.00004698746,0.0001957377,0.0005956504,0.0002613473,0.0004008568],"domain_scores_gemma":[0.9994358,0.00001131778,0.00004136653,0.0004347446,0.00001341664,0.00006331335],"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":[0.001500859,0.002558051,0.02212763,0.00008395696,0.0002838194,0.005219664,0.006608428,0.0003460817,0.7632627,0.0001356166,0.05415677,0.1437164],"study_design_scores_gemma":[0.0006869372,0.0002682871,0.002022624,0.000009336417,0.00002851143,0.00001290095,0.001421815,0.00009853161,0.9199231,0.002006557,0.073305,0.0002164649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966666,0.0001293747,0.00007199009,0.00105956,0.0001526329,0.0003308821,0.000006809454,0.00006633916,0.001515777],"genre_scores_gemma":[0.9846815,0.0001349903,0.0001595598,0.0002950008,0.00005453758,0.00003322949,0.00007572898,0.00002206625,0.01454333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1566603,"threshold_uncertainty_score":0.9354721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007055656998797296,"score_gpt":0.1908368311432945,"score_spread":0.1837811741444972,"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."}}