{"id":"W3158728152","doi":"10.3389/fmicb.2021.610389","title":"Denitrification Biokinetics: Towards Optimization for Industrial Applications","year":2021,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Denitrification; Nitrate; Microbial enhanced oil recovery; Chemistry; Nitrite; Incubation; Kinetics; Environmental chemistry; Bacteria; Microorganism; Biology; Biochemistry; Nitrogen; Organic chemistry","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":[0.0008663991,0.001196495,0.0009677357,0.0005230253,0.0002340004,0.001321285,0.0006100089,0.0007475573,0.001112008],"category_scores_gemma":[0.0009307661,0.0004778329,0.0005400512,0.001021025,0.000305885,0.0009122746,0.0008198285,0.000912416,0.0007882906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060315,"about_ca_system_score_gemma":0.0008402886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225664,"about_ca_topic_score_gemma":0.001683465,"domain_scores_codex":[0.9994117,0.00009135979,0.00006583882,0.0001033937,0.0002576512,0.00006991711],"domain_scores_gemma":[0.9998133,0.0000470254,0.00004181644,0.00001466523,0.0000604803,0.0000227597],"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":[0.000181744,0.0002899796,0.0005779743,0.0006936548,0.00002250878,0.00005092444,0.00006279184,0.0144473,0.9616985,0.0005576884,0.0002245574,0.02119243],"study_design_scores_gemma":[0.00005457042,0.0007743993,0.00198354,0.00009022232,0.00004562918,0.0001184709,0.0001416746,0.03122721,0.9495956,0.0006656372,0.01526463,0.00003832836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455507,0.01574725,0.1234941,0.001319379,0.0001108571,0.0005880759,0.001439086,0.0006783432,0.01107218],"genre_scores_gemma":[0.8026104,0.01484377,0.175368,0.0001796136,0.00002780132,0.0005977832,0.001479343,0.0003527412,0.004540458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001321285,"threshold_uncertainty_score":0.007693231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527146149320124,"score_gpt":0.2199224412768482,"score_spread":0.2046509797836469,"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."}}