{"id":"W3194171315","doi":"10.3390/su13179554","title":"Microalga-Mediated Tertiary Treatment of Municipal Wastewater: Removal of Nutrients and Pathogens","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Algal biology and biofuel production","field":"Energy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Akademie Věd České Republiky; Department of Science and Technology, Ministry of Science and Technology, India; Ministry of Education, India; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Chlorella sorokiniana; Wastewater; Nitrate; Chemical oxygen demand; Ammonium; Pulp and paper industry; Moving bed biofilm reactor; Nutrient; Sewage treatment; Biomass (ecology); Photobioreactor; Effluent; Nitrogen; Environmental chemistry; Biochemical oxygen demand; Chemistry; Chlorella; Environmental engineering; Algae; Biology; Botany; Environmental science; Bacteria; Agronomy; Biofilm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002083021,0.0008387935,0.0008678123,0.0002308122,0.0002699737,0.0004709757,0.0002908516,0.0004952968,0.0005296529],"category_scores_gemma":[0.000118879,0.0002565699,0.0009175434,0.0003331263,0.0001856892,0.0002124358,0.0006520384,0.0004726624,0.0002787104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206072,"about_ca_system_score_gemma":0.0003896031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002404626,"about_ca_topic_score_gemma":0.003594332,"domain_scores_codex":[0.9997062,0.00003357024,0.00003554818,0.00006533375,0.00008027763,0.00007900214],"domain_scores_gemma":[0.9998933,0.000007981851,0.00002341258,0.00001057462,0.0000240792,0.0000406766],"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":[0.00004901201,0.0000228628,0.0001869767,0.00003718137,0.000004624602,0.00001394638,0.000006529551,0.00003488505,0.9988729,0.000004328655,0.000007904058,0.0007587777],"study_design_scores_gemma":[0.00001270211,0.0004547727,0.007190514,0.000006666759,0.00003528492,0.00009038772,0.00003469305,0.000459218,0.9911004,0.000008679982,0.0005980811,0.000008556591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973032,0.0006049546,0.001300541,0.00004044325,0.00003035477,0.00003611152,0.0001487426,0.00004739361,0.0004882938],"genre_scores_gemma":[0.9938959,0.0006829776,0.003320077,0.00004784453,0.000008998013,0.00004626291,0.0003600137,0.00001528504,0.001622644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002404626,"threshold_uncertainty_score":0.004781246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009167388685982738,"score_gpt":0.2402366378420682,"score_spread":0.2310692491560854,"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."}}