{"id":"W4390273600","doi":"10.1007/s11356-023-31507-3","title":"Industrial wastewater treatment using floating wetlands: a review","year":2023,"lang":"en","type":"review","venue":"Environmental Science and Pollution Research","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sewage treatment; Wastewater; Environmental science; Industrial wastewater treatment; Biomass (ecology); Aeration; Waste management; Wetland; Environmental engineering; Engineering; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002910529,0.0005510215,0.001002657,0.0004633696,0.00132578,0.0001864212,0.0006533175,0.0002451707,0.001437428],"category_scores_gemma":[0.0001108929,0.0003806202,0.0002166126,0.002039093,0.002610303,0.0003915135,0.001497932,0.0005341992,0.002153854],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004911,"about_ca_system_score_gemma":0.0003229594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008202425,"about_ca_topic_score_gemma":0.00004637256,"domain_scores_codex":[0.9939737,0.0005112326,0.0007106872,0.001300919,0.002225725,0.001277764],"domain_scores_gemma":[0.9984824,0.0001085278,0.0002144408,0.0006800061,0.000006817959,0.0005078173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005396657,0.00009717127,0.0003051736,0.001000274,0.00005513462,0.00005172905,0.0001267091,0.000006357849,0.0002990605,0.000005429136,0.0006539511,0.9973936],"study_design_scores_gemma":[0.0003940335,0.0002688234,0.00005344404,0.008874193,0.0002847754,0.0001957279,0.0001228502,0.000108881,0.00008383751,0.00002080118,0.9891097,0.0004829248],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008832835,0.9866417,4.488763e-7,0.0001524488,0.0002592102,0.002977077,0.0002102239,0.00007192658,0.0008541454],"genre_scores_gemma":[0.0007211699,0.9972594,0.0001073648,0.00002494482,0.000148624,0.000151864,0.00007765833,0.00005575576,0.001453267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9969107,"threshold_uncertainty_score":0.9999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.204617135291964,"score_gpt":0.3947125445845388,"score_spread":0.1900954092925748,"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."}}