{"id":"W3098808920","doi":"10.1016/j.wri.2020.100137","title":"Advanced Oxidation Processes as sustainable technologies for the reduction of elderberry agro-industrial water impact","year":2020,"lang":"en","type":"article","venue":"Water Resources and Industry","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Institute of Infection and Immunity; Fundação para a Ciência e a Tecnologia","keywords":"Biodegradation; Wastewater; Reuse; Environmental science; Sewage treatment; Activity-based costing; Industrial wastewater treatment; Waste management; Advanced oxidation process; Pulp and paper industry; Water treatment; Chemistry; Environmental engineering; Business; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001056757,0.0001543137,0.000140782,0.00002552876,0.00022752,0.00004911948,0.0001688937,0.000209928,0.0002399925],"category_scores_gemma":[0.00006833838,0.00007215354,0.00003849308,0.0001247167,0.0001952729,0.0003990524,0.0002006685,0.0001986579,0.00001721595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006858273,"about_ca_system_score_gemma":0.000007585749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431539,"about_ca_topic_score_gemma":0.00000154852,"domain_scores_codex":[0.9990129,0.00001893022,0.0002062828,0.0002846565,0.0001616428,0.0003155785],"domain_scores_gemma":[0.9996659,0.0000241853,0.00007276733,0.0001576718,0.00002659612,0.00005291948],"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":[0.001334025,0.000191799,0.0178899,0.0002358163,0.0001808058,0.00001060388,0.02306063,0.03219122,0.8545065,0.00004324772,0.002935233,0.06742026],"study_design_scores_gemma":[0.0006718541,0.0004096268,0.0002354143,0.00001312577,0.00003435163,0.000009324889,0.00861336,0.0000632961,0.9305845,0.0006582237,0.05857603,0.000130867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993047,0.00007315319,0.000182525,0.005760586,0.00002591413,0.000633925,0.000005099287,0.00007600406,0.0001957982],"genre_scores_gemma":[0.9981976,0.00002682745,0.000202472,0.00004807372,0.0000676058,0.00009916237,0.00002425634,0.00001476926,0.001319191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07607806,"threshold_uncertainty_score":0.2942336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169464488149107,"score_gpt":0.2472626368040981,"score_spread":0.2303161879891874,"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."}}