{"id":"W2085080619","doi":"10.2166/wst.2011.004","title":"Treating municipal wastewater with the goal of resource recovery","year":2010,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydromantis Environmental Software Solutions (Canada)","funders":"","keywords":"Wastewater; Anaerobic digestion; Energy recovery; Waste management; Sewage treatment; Environmental science; Resource recovery; Nutrient; Environmental engineering; Engineering; Chemistry; Energy (signal processing)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005025752,0.0001376918,0.0001877086,0.0001994587,0.0003051373,0.0000128579,0.001236534,0.00008915493,0.00009631195],"category_scores_gemma":[0.00003409456,0.00006342157,0.00003106804,0.0008347551,0.006298672,0.0002050406,0.00119208,0.0002106706,0.0000261572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003400117,"about_ca_system_score_gemma":0.00001115463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004141959,"about_ca_topic_score_gemma":0.0008947904,"domain_scores_codex":[0.9985303,0.00002125829,0.0002095104,0.0003699058,0.0003640787,0.000504992],"domain_scores_gemma":[0.9991024,0.00002811944,0.00009705484,0.0007160976,0.00002075147,0.00003556352],"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":[0.00001916452,0.00003114119,0.005643213,0.00000236598,0.00000560439,0.000003335652,0.00152971,0.0002131301,0.9888217,0.001634776,0.00004369929,0.00205213],"study_design_scores_gemma":[0.0001388065,0.0003341323,0.001199412,0.000008353899,0.00001009087,0.00003709704,0.001103294,0.0001106015,0.9887269,0.005021196,0.003200046,0.0001100797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715216,0.000007161587,0.00003511019,0.001953588,0.00006348938,0.0000855592,0.000002576871,0.00005102671,0.02627986],"genre_scores_gemma":[0.9978964,5.979375e-7,0.001412662,0.00004145795,0.00001090378,0.00001886315,4.560131e-7,0.000009472329,0.0006091985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02637476,"threshold_uncertainty_score":0.9964056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005039758784892233,"score_gpt":0.1907240042212437,"score_spread":0.1856842454363515,"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."}}