{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001146346,0.0005508103,0.0002719987,0.0003069917,0.0002054915,0.0004662899,0.0002329026,0.0003083451,0.0005670435],"category_scores_gemma":[0.0001062199,0.00009268812,0.000414565,0.0001875085,0.0001197887,0.0001776528,0.0003868981,0.0002680179,0.000226776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003719195,"about_ca_system_score_gemma":0.0002316164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944685,"about_ca_topic_score_gemma":0.005043183,"domain_scores_codex":[0.9999053,0.00001386915,0.000009178844,0.00002128941,0.00002738228,0.00002287229],"domain_scores_gemma":[0.9999394,0.000007294876,0.00001447084,0.000006035796,0.00001735795,0.00001541112],"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":[0.00002588707,0.00001474662,0.0002067063,0.00003684709,0.000003036813,0.00002191194,0.00000567981,0.00005186391,0.9978762,0.00001513907,0.00001388971,0.001728044],"study_design_scores_gemma":[0.000004623344,0.0002616241,0.003594289,0.00001174456,0.00001971931,0.0001032164,0.00005250681,0.0006534862,0.9931163,0.00002527322,0.002152096,0.000005006764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946431,0.001352788,0.001991509,0.0001135098,0.00001520614,0.00002941732,0.0002419926,0.00009063152,0.001521825],"genre_scores_gemma":[0.9932868,0.0005965306,0.003275255,0.00005058524,0.000003221316,0.00003210938,0.0002737475,0.0000120748,0.002469823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002944685,"threshold_uncertainty_score":0.005855083,"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."}}