{"id":"W2969285297","doi":"","title":"Hybrid osmotic microfiltration bioreactor for nutrient recovery","year":2018,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kruger (Canada)","funders":"","keywords":"Microfiltration; Bioreactor; Membrane bioreactor; Osmosis; Chemistry; Nutrient; Chromatography; Environmental science; Pulp and paper industry; Process engineering; Membrane; Engineering; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001627265,0.0004788922,0.0003835795,0.0002866261,0.0002798487,0.0005248224,0.0003767619,0.0003799832,0.001168481],"category_scores_gemma":[0.00005451754,0.0001539409,0.0003567354,0.0002002432,0.0001060769,0.0003793808,0.0005222213,0.0003685296,0.0004689211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003335754,"about_ca_system_score_gemma":0.0002170867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008280737,"about_ca_topic_score_gemma":0.001726118,"domain_scores_codex":[0.9998455,0.00001207704,0.000008744036,0.00003924153,0.00006543658,0.00002898809],"domain_scores_gemma":[0.9999639,0.000005168008,0.000008300135,0.000003381866,0.000009011146,0.0000101843],"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":[0.00007878169,0.0000533416,0.0001354586,0.00002871209,0.000009389348,0.00002027672,0.000007695528,0.0001391725,0.996657,0.00007304232,0.00006537245,0.002731754],"study_design_scores_gemma":[0.00002080036,0.0002398116,0.002137445,0.000004825841,0.00003794436,0.00009704449,0.00001506323,0.003065591,0.9903842,0.00004406991,0.003939023,0.00001416428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965671,0.001475695,0.02902637,0.0001097216,0.0001111658,0.00004761766,0.0004023038,0.0005242903,0.002631809],"genre_scores_gemma":[0.9727378,0.00067452,0.01779972,0.00007036392,0.00002512223,0.00006122133,0.0005523607,0.00003552974,0.008043334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001168481,"threshold_uncertainty_score":0.003908992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007912913419027187,"score_gpt":0.1933224725816017,"score_spread":0.1854095591625745,"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."}}