{"id":"W1972887165","doi":"10.1590/s0100-69162009000300013","title":"Removal of organic matter and nutrients from slaughterhouse wastewater by using Eichhornia crassipes and evaluation of the generated biomass composting","year":2009,"lang":"en","type":"article","venue":"Engenharia Agrícola","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Eichhornia crassipes; Hyacinth; Macrophyte; Nutrient; Biomass (ecology); Organic matter; Compost; Aquatic plant; Environmental science; Wastewater; Animal science; Agronomy; Pulp and paper industry; Chemistry; Environmental engineering; Biology; Ecology","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":[0.000171049,0.0003500261,0.000332519,0.0002378533,0.0002085301,0.000409361,0.0001690374,0.0002227275,0.0003297567],"category_scores_gemma":[0.0001456355,0.0001194701,0.0002843783,0.0002310361,0.0001968043,0.0001287217,0.0002216876,0.0001876909,0.0001104845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624819,"about_ca_system_score_gemma":0.0003619576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004568388,"about_ca_topic_score_gemma":0.01324207,"domain_scores_codex":[0.9998298,0.00002020119,0.00001524412,0.00004196195,0.00005710897,0.00003564853],"domain_scores_gemma":[0.9999186,0.00001191547,0.00002431118,0.000006768177,0.00002363915,0.00001478782],"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":[0.00008519355,0.00003620888,0.002258362,0.00007385814,0.000006748578,0.00006312044,0.00003486803,0.000122598,0.9951013,0.000006196742,0.000005108543,0.002206448],"study_design_scores_gemma":[0.00001364484,0.001638483,0.0577347,0.00002245063,0.00004964183,0.0001483376,0.000390852,0.001007568,0.9381482,0.0000201418,0.0008168736,0.000009067465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993581,0.0001165887,0.000270037,0.000007017517,0.000001810233,0.00001065208,0.00002949795,0.000003428497,0.0002028901],"genre_scores_gemma":[0.9969046,0.0003563794,0.001841908,0.00001821728,0.000001863345,0.00001736601,0.000114648,0.000004221052,0.0007407149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004568388,"threshold_uncertainty_score":0.009083629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169154323294974,"score_gpt":0.2219834774866952,"score_spread":0.2102919342537455,"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."}}