{"id":"W2781514279","doi":"10.1016/j.watres.2018.01.004","title":"Using mass struvite precipitation to remove recalcitrant nutrients and micropollutants from anaerobic digestion dewatering centrate","year":2018,"lang":"en","type":"article","venue":"Water Research","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Struvite; Anaerobic digestion; Dewatering; Chemistry; Biosolids; Triclocarban; Environmental chemistry; Precipitation; Sewage treatment; Triclosan; Nutrient; Sewage sludge; Phosphorus; Wastewater; Pulp and paper industry; Environmental science; Environmental engineering; Methane; Geology","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":[0.0002391766,0.0004545433,0.0002709223,0.0003407126,0.0002843417,0.0004800567,0.000319042,0.0002485977,0.0008509835],"category_scores_gemma":[0.0001937764,0.0002131294,0.0003001948,0.0002789108,0.000153837,0.0002967482,0.0003898701,0.0003904177,0.0002740517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371993,"about_ca_system_score_gemma":0.0004598612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558848,"about_ca_topic_score_gemma":0.005801861,"domain_scores_codex":[0.9998587,0.00001310367,0.00001500311,0.00004056955,0.00004775518,0.00002479719],"domain_scores_gemma":[0.9999177,0.00001613759,0.00002762047,0.000009996977,0.00001549703,0.00001295162],"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":[0.0001074799,0.00008380288,0.0006695471,0.00005505123,0.0000175521,0.00002307051,0.00002073792,0.0002873408,0.9892482,0.0000525317,0.00006779131,0.009366933],"study_design_scores_gemma":[0.00001362588,0.0001461256,0.00124063,0.000002995933,0.00001397051,0.00003885218,0.00001357209,0.001198058,0.9961348,0.00002743493,0.001166398,0.00000352059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759954,0.0006527193,0.02118658,0.000127824,0.00008531246,0.00008187684,0.0001373202,0.0002218646,0.001511226],"genre_scores_gemma":[0.9705011,0.0008101817,0.02348163,0.0001058345,0.00003200183,0.0000382357,0.0002374563,0.00005759769,0.004735919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001558848,"threshold_uncertainty_score":0.003099561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06055656931126254,"score_gpt":0.3266920805046002,"score_spread":0.2661355111933377,"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."}}