{"id":"W2170271147","doi":"10.1002/bit.24544","title":"Comparison of different modeling approaches to better evaluate greenhouse gas emissions from whole wastewater treatment plants","year":2012,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Greenhouse gas; Empirical modelling; Anaerobic digestion; Environmental science; Benchmark (surveying); Methane; Nitrous oxide; Sewage treatment; Carbon dioxide; Process (computing); Environmental engineering; Wastewater; Biochemical engineering; Chemistry; Computer science; Engineering; Simulation; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295821,0.001441941,0.001014539,0.001043456,0.000297099,0.001197767,0.001011513,0.001001215,0.0007793594],"category_scores_gemma":[0.001538641,0.0003693074,0.001420089,0.001482735,0.0002493568,0.001025684,0.0006624912,0.0007733201,0.0001628699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647328,"about_ca_system_score_gemma":0.001031928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329944,"about_ca_topic_score_gemma":0.006843376,"domain_scores_codex":[0.999341,0.0002579422,0.00004898818,0.000101926,0.0001879493,0.00006216858],"domain_scores_gemma":[0.9990669,0.0004809361,0.00007021159,0.0001039847,0.0002449557,0.00003294648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001384258,0.0001029164,0.002435778,0.0001387184,0.00007498917,0.00002368969,0.00001873398,0.9815643,0.003704676,0.0006983194,0.0001390358,0.01096031],"study_design_scores_gemma":[0.00004296139,0.0003099456,0.004370184,0.00002829027,0.0000836032,0.00001546122,0.00006000427,0.9855292,0.007477845,0.000862311,0.001189817,0.00003027757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9020339,0.002218341,0.08162177,0.0003694069,0.00008853025,0.0002531141,0.001947164,0.0006976066,0.0107701],"genre_scores_gemma":[0.9756886,0.001218385,0.02064485,0.00004336835,0.0000126437,0.0002086849,0.001222397,0.00006774464,0.0008932734],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01329944,"threshold_uncertainty_score":0.02644408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0728989345932549,"score_gpt":0.2479351195240864,"score_spread":0.1750361849308315,"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."}}