{"id":"W4393997751","doi":"10.2166/wpt.2024.084","title":"Comparing the effect of carbon media on nutrient removal and greenhouse gas production in laboratory-scale bioreactors","year":2024,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Agriculture and Agri-Food Canada; Lethbridge College; Agriculture Food and Rural Development","funders":"Agriculture and Agri-Food Canada","keywords":"Greenhouse gas; Bioreactor; Environmental science; Production (economics); Nutrient; Scale (ratio); Carbon fibers; SCALE-UP; Waste management; Environmental engineering; Chemistry; Engineering; Computer science; Biology; Ecology; Economics; Physics","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":[0.0006779921,0.0008855361,0.0007833536,0.000289794,0.0003837139,0.0008671903,0.0005651098,0.0005208086,0.0005603207],"category_scores_gemma":[0.0007855188,0.0001965594,0.0005641026,0.0003888256,0.0003789239,0.0003600501,0.000482266,0.0006497054,0.0001995814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000696458,"about_ca_system_score_gemma":0.0005100393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005175999,"about_ca_topic_score_gemma":0.0046115,"domain_scores_codex":[0.9991608,0.0001689326,0.0001206987,0.0002186482,0.0002321428,0.00009883359],"domain_scores_gemma":[0.9991114,0.0003205429,0.0001671522,0.00007399033,0.0002226228,0.0001044039],"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":[0.0003314532,0.0001704166,0.0006369684,0.00007737215,0.00001568042,0.00003301202,0.00002292055,0.0002292494,0.9974579,0.00001020738,0.00001920525,0.000995604],"study_design_scores_gemma":[0.00001552789,0.00129455,0.004545168,0.000008464573,0.00004311268,0.00004200047,0.00006141992,0.0008836367,0.9928026,0.00001377423,0.0002771291,0.00001266732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979104,0.0002858375,0.001009213,0.00002909312,0.00003194402,0.00005990982,0.0002618114,0.00003380834,0.0003779262],"genre_scores_gemma":[0.9914513,0.0004497421,0.006207551,0.00005735573,0.00002702684,0.0001937073,0.0005641113,0.00002578685,0.001023314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005175999,"threshold_uncertainty_score":0.01029176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007008362412047037,"score_gpt":0.22088549822627,"score_spread":0.2138771358142229,"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."}}