{"id":"W2966713285","doi":"10.11159/icepr19.186","title":"Sewage Water as Resources for Green Energy by Using Hydro Turbines, Pumped Energy Storage, Waste and Bio Systems","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Waste management; Pumped-storage hydroelectricity; Sewage; Energy storage; Wind power; Renewable energy; Environmental engineering; Distributed generation; Engineering; Power (physics); Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005665219,0.0002415686,0.0001302301,0.0006133295,0.0007562224,0.002415687,0.0002292148,0.0004074698,0.007304119],"category_scores_gemma":[0.0002870439,0.00009844088,0.0002343444,0.0008683007,0.0006340886,0.001956635,0.001468369,0.0003781098,0.0007785863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186768,"about_ca_system_score_gemma":0.001734529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706743,"about_ca_topic_score_gemma":0.008467253,"domain_scores_codex":[0.9997252,0.0001128703,0.000007970665,0.00003729612,0.00007677294,0.00003988359],"domain_scores_gemma":[0.9999111,0.00003017099,0.00001066875,0.000009528353,0.00002567734,0.00001288613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002221856,0.0006733262,0.01777421,0.0009610282,0.00009303237,0.0003159394,0.001596806,0.005403282,0.02609766,0.3345092,0.02132259,0.5910307],"study_design_scores_gemma":[0.00008366392,0.0007508335,0.01445708,0.0009555113,0.0001152691,0.0003175064,0.009681982,0.009825638,0.08443031,0.1012481,0.7780879,0.00004603199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4916866,0.01006431,0.02227867,0.01148311,0.0004874356,0.0002395637,0.0006137858,0.0001309337,0.4630155],"genre_scores_gemma":[0.9034058,0.01049975,0.01459189,0.0006471541,0.00005437008,0.0000850005,0.0003003233,0.00003541348,0.07038036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007304119,"threshold_uncertainty_score":0.02443475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009111450987657978,"score_gpt":0.200471083209362,"score_spread":0.1913596322217041,"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."}}