{"id":"W2907391681","doi":"10.1016/j.chemosphere.2019.01.025","title":"Cell surface characterization and trace metal adsorptive properties of anaerobic ammonium-oxidizing (anammox) consortia","year":2019,"lang":"en","type":"article","venue":"Chemosphere","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Anammox; Chemistry; Adsorption; Ammonium; Inorganic chemistry; Titration; Oxidizing agent; Wastewater; Environmental chemistry; Industrial wastewater treatment; Metal; Effluent; Ammonia; Organic chemistry; Nitrogen; Environmental engineering; Denitrification","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":[0.0002796572,0.0003064242,0.0002148355,0.0002890049,0.0001808426,0.0004209362,0.0001879078,0.0002450247,0.0004871826],"category_scores_gemma":[0.0004013775,0.00009333211,0.0002630103,0.0003667416,0.0001721302,0.0002349626,0.0002345391,0.0002712063,0.0001564626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612555,"about_ca_system_score_gemma":0.0001795615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666982,"about_ca_topic_score_gemma":0.001033902,"domain_scores_codex":[0.9997804,0.00003053886,0.00002263846,0.0000345675,0.00009090392,0.00004093975],"domain_scores_gemma":[0.9998374,0.00004952906,0.00002094264,0.00001498929,0.00005489032,0.00002209924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003679278,0.00001773198,0.0004724093,0.000007827124,0.000002224389,0.00001485044,0.00001796017,0.00002153746,0.9987392,0.00001288423,0.000007162229,0.0006493693],"study_design_scores_gemma":[0.000005019744,0.0002453554,0.01161485,0.00000198168,0.00001300296,0.00007872618,0.00009174411,0.0005494774,0.9867671,0.00002725287,0.0006004851,0.000004809638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982945,0.000151443,0.0008922227,0.00003734924,0.000009894156,0.000009591969,0.00021676,0.00001199424,0.0003761682],"genre_scores_gemma":[0.9967553,0.0002024725,0.001234208,0.0000207712,0.000008260391,0.00001555381,0.0006752224,0.00000689074,0.001081202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001666982,"threshold_uncertainty_score":0.003314495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008565021327298807,"score_gpt":0.1740404534870387,"score_spread":0.1654754321597399,"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."}}