{"id":"W4385436722","doi":"10.1016/j.jwpe.2023.104103","title":"Integrating eco-environmental assessment with energy recovery for petrochemical wastewater treatment technologies: A transition towards green and sustainable management","year":2023,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Persian Gulf University; Tarbiat Modares University; Gorgan University of Agricultural Sciences and Natural Resources","keywords":"Life-cycle assessment; Waste management; Environmental science; Petrochemical; Wastewater; Sewage treatment; Membrane bioreactor; Incineration; Biogas; Reverse osmosis; Environmental engineering; Hazardous waste; Engineering; Chemistry","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":[0.0001570617,0.0002102887,0.000217783,0.0001598929,0.00009595558,0.00005255629,0.0001264094,0.00005928969,0.00001635736],"category_scores_gemma":[0.000001279057,0.0001155294,0.00006831555,0.0001030369,0.00003772308,0.0003772476,0.00006567605,0.00007677927,0.000002054884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004073899,"about_ca_system_score_gemma":0.000007482342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002142208,"about_ca_topic_score_gemma":0.000003321129,"domain_scores_codex":[0.9989107,0.000007760763,0.0002541445,0.0002035519,0.0002154429,0.0004083738],"domain_scores_gemma":[0.9997584,0.00001145289,0.00006449208,0.00009654494,0.000007712414,0.00006136623],"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":[0.001614376,0.001394322,0.006005949,0.002444636,0.00251119,0.002702991,0.01915244,0.3074844,0.5801552,0.0002012347,0.0003503865,0.07598282],"study_design_scores_gemma":[0.005348381,0.004141592,0.0006058572,0.0003495569,0.0004444658,0.0004746957,0.01446096,0.02345859,0.9425914,0.001288752,0.006042853,0.0007929162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933922,0.00003595633,0.005672053,0.0004806023,0.00003593877,0.0002162451,0.000003965891,0.0000716941,0.00009136928],"genre_scores_gemma":[0.9920093,0.0001845079,0.006703495,0.000006187307,0.00003374841,0.00008135285,0.00001960857,0.00002859817,0.0009332303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3624362,"threshold_uncertainty_score":0.4711152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004211109559051598,"score_gpt":0.1941133344095843,"score_spread":0.1899022248505327,"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."}}