{"id":"W4399804515","doi":"10.1002/9781394204502.ch4","title":"Carbon Emissions, Energy Reduction, and Energy Recovery from Wastewater Treatment Plants","year":2024,"lang":"en","type":"other","venue":"","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Reduction (mathematics); Environmental science; Carbon fibers; Greenhouse gas; Wastewater; Energy (signal processing); Waste management; Sewage treatment; Environmental engineering; Engineering; Computer science; Ecology; Biology; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001987714,0.0002213088,0.0001674934,0.00005355581,0.00002025645,0.00003323285,0.00006040569,0.0002357793,0.01884625],"category_scores_gemma":[8.732347e-7,0.0001468093,0.00004108677,0.00004252481,0.00004154748,0.00002140832,0.00008185873,0.0000365585,0.0002345819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387048,"about_ca_system_score_gemma":0.000007945464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06964803,"about_ca_topic_score_gemma":0.004499241,"domain_scores_codex":[0.9991018,0.00002481403,0.0001365807,0.0004665644,0.0001207339,0.0001495011],"domain_scores_gemma":[0.9996627,0.000005356676,0.00005616085,0.0001860513,7.92542e-7,0.00008896233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001054673,0.00003234287,0.00003407822,0.000006390388,0.00005134657,0.000009737321,0.00004610958,0.000002098209,0.05059044,0.000008375328,0.9341824,0.0150261],"study_design_scores_gemma":[0.000101835,0.00004964712,0.000009289343,0.00005301344,0.00003674152,0.000005879535,0.00002149378,0.00003039336,0.02143047,0.0002838,0.9777763,0.0002010726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004112509,0.003091238,0.00000566296,0.0001718968,0.001293132,0.00005884323,0.0001488731,0.0001268729,0.990991],"genre_scores_gemma":[0.002972569,0.01053298,0.0001836152,0.00005557225,0.000509406,0.00001005648,0.0002933402,0.0001347557,0.9853077],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06514879,"threshold_uncertainty_score":0.9820507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006079122488551623,"score_gpt":0.1815822036058709,"score_spread":0.1755030811173193,"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."}}