{"id":"W2883156178","doi":"10.1016/j.watres.2018.07.052","title":"Dynamic model of a municipal wastewater stabilization pond in the arctic","year":2018,"lang":"en","type":"article","venue":"Water Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Environment and Climate Change Canada","keywords":"Arctic; Environmental science; Wastewater; Sewage treatment; Environmental engineering; Chemical oxygen demand; Work (physics); Sewage; Waste management; Oceanography; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003293476,0.0006376684,0.001349509,0.0007258401,0.001484491,0.002045115,0.001626054,0.003880397,0.008107128],"category_scores_gemma":[0.0009557729,0.0008285208,0.001070593,0.0007409161,0.001542034,0.001004145,0.001398288,0.001519155,0.0005895711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00294072,"about_ca_system_score_gemma":0.003043305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3225387,"about_ca_topic_score_gemma":0.136912,"domain_scores_codex":[0.9997824,0.00004211928,0.00001034886,0.0000514188,0.00002532652,0.00008835045],"domain_scores_gemma":[0.9996006,0.0001400713,0.00004795572,0.00001764278,0.00008683403,0.0001068943],"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":[0.0000409826,0.00002113448,0.0006798898,0.00000840402,0.00001063753,0.00007936226,0.00001566089,0.9974015,0.00022604,0.000986505,0.0002262341,0.0003037274],"study_design_scores_gemma":[0.00002791683,0.00001743492,0.0004978222,0.000003282648,0.000008839667,0.000007327034,0.00005380822,0.998754,0.00006573761,0.000328699,0.0002259305,0.000009132026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922677,0.0002643651,0.02359208,0.001945452,0.0001715694,0.00007921912,0.003596987,0.0004130508,0.04726028],"genre_scores_gemma":[0.9894173,0.00008728827,0.0008991995,0.00007290642,0.00001582403,0.00004167153,0.0005099889,0.00003862169,0.008917259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3225387,"threshold_uncertainty_score":0.6413227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568265301081557,"score_gpt":0.3516506616032691,"score_spread":0.1948241314951134,"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."}}