{"id":"W2904267485","doi":"10.1680/jenes.18.00005","title":"Model-based optimisation and economic analysis to quantify the viability and profitability of an integrated nutrient and energy recovery treatment train","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anaerobic digestion; Environmental science; Struvite; Biogas; Biorefinery; Nutrient; Valorisation; Resource recovery; Manure; Energy recovery; Bioenergy; Waste management; Environmental engineering; Biofuel; Engineering; Mathematics; Wastewater; Chemistry; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000755923,0.000107176,0.0001672477,0.00009395293,0.0001165935,0.00004089235,0.00009835634,0.00002132647,0.00001808422],"category_scores_gemma":[0.00001687196,0.00007203496,0.00003004628,0.0001602154,0.0006054128,0.0002649988,0.00008285441,0.00003903915,2.1351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338387,"about_ca_system_score_gemma":0.00001169324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454958,"about_ca_topic_score_gemma":0.0000301498,"domain_scores_codex":[0.9991944,0.00002227155,0.0002348646,0.0002482146,0.0001694322,0.0001308236],"domain_scores_gemma":[0.999557,0.00003803808,0.00009706077,0.000143102,0.000003768155,0.0001610602],"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":[0.000318522,0.0004369476,0.08592239,0.00001649105,0.0001141657,0.000002216942,0.002111059,0.7360256,0.1057545,0.0002060175,0.000007986768,0.06908417],"study_design_scores_gemma":[0.00025744,0.000840894,0.2754827,0.000005852897,0.00007244544,0.00000464853,0.0001573865,0.7142635,0.008523569,0.00007367993,0.0002304859,0.00008742254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907224,0.0000654134,0.008957667,0.000105445,0.00002943858,0.00008620993,0.00001174948,0.000002661736,0.00001897245],"genre_scores_gemma":[0.9954408,0.000120879,0.004390155,0.00002083691,0.000007415144,0.000003483052,6.061048e-7,0.000003322119,0.00001251318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1895603,"threshold_uncertainty_score":0.29375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00789228044822438,"score_gpt":0.2039122371074575,"score_spread":0.1960199566592331,"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."}}