{"id":"W3186379745","doi":"10.2495/wrm210071","title":"FILTRATION OF DISSOLVED ORGANIC NUTRIENTS FROM FISH FARM WASTEWATER USING A MACROALGAE BIOFILTER","year":2021,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Rural Affairs","keywords":"Mesocosm; Biofilter; Nutrient; Aquaculture; Wastewater; Eutrophication; Recirculating aquaculture system; Environmental science; Nitrate; Biomass (ecology); Sewage treatment; Effluent; Environmental chemistry; Pulp and paper industry; Biology; Environmental engineering; Fishery; Ecology; Chemistry; Fish <Actinopterygii>","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000822291,0.00008535492,0.0001419147,0.000004716779,0.0001922197,0.000007997328,0.00006591588,0.0001357071,0.003195221],"category_scores_gemma":[0.000004262596,0.00003189415,0.00005138486,0.00005222299,0.0002203859,0.00002537089,0.000007856232,0.0001272932,0.00001327318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000137024,"about_ca_system_score_gemma":0.000003921521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000510975,"about_ca_topic_score_gemma":0.0002687775,"domain_scores_codex":[0.9993242,0.0001530811,0.000161129,0.0001863159,0.00005321745,0.000122041],"domain_scores_gemma":[0.9996747,0.0001762103,0.00005363221,0.00006089426,0.000005252085,0.00002932403],"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":[0.0003196665,0.0006357737,0.004792687,0.000004619038,0.0001891511,0.000006083301,0.0003111666,0.0002173911,0.9779537,0.0002071881,0.00001161427,0.01535094],"study_design_scores_gemma":[0.003010926,0.0008972954,0.2260269,0.00003486242,0.0002800367,0.00003870766,0.001857726,0.001214528,0.7593318,0.003923424,0.00302038,0.0003633907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966174,0.0000315508,0.0004006589,0.002592665,0.0001053467,0.0001198802,0.00008540975,0.000005874595,0.00004124682],"genre_scores_gemma":[0.9991949,0.00007966573,0.00007254689,0.0003232466,0.00002900077,0.0000125218,0.0000490013,7.431241e-7,0.0002383685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2212342,"threshold_uncertainty_score":0.997716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154049422928713,"score_gpt":0.183658428161987,"score_spread":0.1682534858691157,"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."}}