{"id":"W4384207405","doi":"10.1088/1755-1315/1194/1/012016","title":"Wastewater to Wetlands: Turning the Tide with Azolla Ferns","year":2023,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Wastewater; Wetland; Eutrophication; Environmental science; Phytoremediation; Sewage treatment; Environmental engineering; Environmental protection; Nutrient; Ecology; Soil water; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004017768,0.0001827409,0.0001402133,0.00004127131,0.0006731864,0.0001875014,0.0003979017,0.00003239752,0.0007747232],"category_scores_gemma":[0.00001576091,0.0001091864,0.00001925322,0.000445438,0.001019482,0.0004367766,0.0004517166,0.0001162867,0.0008928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004235458,"about_ca_system_score_gemma":0.00002058519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002362585,"about_ca_topic_score_gemma":0.001540018,"domain_scores_codex":[0.9982972,0.00002757713,0.0001604635,0.0004566958,0.0005298797,0.000528215],"domain_scores_gemma":[0.9993244,0.00003626625,0.0000537609,0.0003153378,0.00000270638,0.0002674686],"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":[0.0001893864,0.00006798834,0.3493509,0.00003249576,0.00003135966,0.00009165728,0.01289144,0.01143881,0.5903245,0.002016678,0.0009394558,0.0326254],"study_design_scores_gemma":[0.0004329525,0.0005826409,0.898831,0.00006708443,0.00001923697,0.0001735858,0.007587539,0.009208439,0.0403176,0.0002819533,0.04182441,0.0006736047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926512,0.000005934915,0.00005003566,0.000711202,0.00008765842,0.0002536721,0.00002907495,0.00004587782,0.006165373],"genre_scores_gemma":[0.9956573,0.00004979856,0.0003135442,0.0001961835,0.00002491546,0.00002568285,0.00001189746,0.00001050945,0.003710117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5500069,"threshold_uncertainty_score":0.9998851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009217368082349985,"score_gpt":0.1918523986099417,"score_spread":0.1826350305275917,"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."}}