{"id":"W2761808020","doi":"10.2166/wst.2017.511","title":"Simultaneous organic matter removal and nitrification of an inert self-supporting immersed media to upgrade aerated lagoons","year":2017,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Nitrification; Effluent; Aeration; Organic matter; Chemistry; Inert; Pulp and paper industry; Environmental chemistry; Environmental engineering; Aerated lagoon; Environmental science; Wastewater; Nitrogen; Activated sludge; Organic chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003787617,0.0001626455,0.0001906985,0.0002742096,0.000561031,0.00009961172,0.0009473889,0.0001169555,0.0002393106],"category_scores_gemma":[0.00008065499,0.0001152272,0.00002014974,0.000424803,0.001090957,0.0004691428,0.0005560705,0.0001039196,0.0003798024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009091791,"about_ca_system_score_gemma":0.0000205541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001663655,"about_ca_topic_score_gemma":0.00009552238,"domain_scores_codex":[0.9983522,0.00001678412,0.0002611588,0.0005648237,0.0002772582,0.0005277657],"domain_scores_gemma":[0.9989091,0.00001120743,0.0001350599,0.0007677483,0.00003064697,0.0001462678],"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":[0.00001124469,0.00005842304,0.02770427,0.000002184459,0.000004153957,0.0000510993,0.001139088,0.00001265602,0.9684529,0.00001481028,0.00001039509,0.002538729],"study_design_scores_gemma":[0.0003013194,0.0001342473,0.01004571,0.000005063537,0.00001941352,0.0001863026,0.0002947972,0.001053702,0.987022,0.0004487391,0.0003158476,0.0001728209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971611,0.000003975204,0.00005046599,0.001987165,0.00008487171,0.0002483855,0.000002741594,0.0001071819,0.0003541319],"genre_scores_gemma":[0.9841683,0.000002047326,0.01554126,0.00007440809,0.00001298112,0.000009224319,0.000005431837,0.00001317432,0.0001731806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01856909,"threshold_uncertainty_score":0.4881718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007727580477790875,"score_gpt":0.2375255736620513,"score_spread":0.2297979931842605,"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."}}