{"id":"W2771236498","doi":"10.5004/dwt.2017.20767","title":"Potential of Ulva lactuca for municipal wastewater bioremediation and fly food","year":2017,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Humic Substances and Bio-Organic Studies","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bioremediation; Ulva lactuca; Wastewater; Lactuca; Environmental science; Environmental engineering; Waste management; Pulp and paper industry; Environmental chemistry; Biology; Chemistry; Botany; Ecology; Contamination; 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":[0.00006194231,0.00007344025,0.0001007243,0.000006510183,0.0002822951,0.00004717417,0.00004271067,0.00003582323,0.00001814664],"category_scores_gemma":[0.000006224612,0.00002192107,0.00002950589,0.000008158915,0.00005392097,0.00008031091,0.00002603685,0.000009187707,0.000001039642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000106068,"about_ca_system_score_gemma":0.000001060237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001014382,"about_ca_topic_score_gemma":0.0003398129,"domain_scores_codex":[0.999612,0.0000105763,0.00009860564,0.0001240351,0.00005467739,0.0001000967],"domain_scores_gemma":[0.9998302,0.00001866337,0.00005271855,0.00003527221,0.00003603191,0.00002712984],"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":[0.0002360003,0.0002517271,0.01675524,0.00002971533,0.0001856709,0.000001727846,0.003623734,8.757166e-7,0.806143,0.0006473913,0.0000742155,0.1720507],"study_design_scores_gemma":[0.00174635,0.002231367,0.2808889,0.00001774356,0.0001019758,0.000004000449,0.001331521,0.0002323839,0.7018739,0.001176483,0.01019361,0.0002017815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973788,0.0001454651,0.000002617335,0.002116235,0.00008765925,0.0001734541,0.00004779037,0.000007943557,0.00004005157],"genre_scores_gemma":[0.9992888,0.0002516154,0.00006480882,0.000021138,0.00009871599,0.00001827428,0.00006407518,5.956489e-7,0.0001919789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2641336,"threshold_uncertainty_score":0.2171214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291447052599312,"score_gpt":0.243897977946881,"score_spread":0.2109835074208878,"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."}}