{"id":"W2160934488","doi":"10.1128/aem.00777-09","title":"Effect of Nitrate and Acetylene on <i>nirS</i> , <i>cnorB</i> , and <i>nosZ</i> Expression and Denitrification Activity in <i>Pseudomonas mandelii</i>","year":2009,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Nova Scotia Department of Agriculture; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust","keywords":"Denitrification; Acetylene; Gene expression; Nitrate; Chemistry; Gene; Pseudomonas; Molecular biology; Biology; Biochemistry; Food science; Nitrogen; Genetics; Organic chemistry; Bacteria","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":[0.0001678013,0.0004851954,0.0003591666,0.0001174165,0.0001496167,0.0003428861,0.0003181788,0.0002804839,0.0007656898],"category_scores_gemma":[0.0003699192,0.0001847756,0.0003245939,0.0001737816,0.0002495814,0.0002294905,0.0002559344,0.0004854459,0.0002142521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004378525,"about_ca_system_score_gemma":0.0003697701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003517432,"about_ca_topic_score_gemma":0.005971314,"domain_scores_codex":[0.9997283,0.00006082341,0.00002209112,0.00005544228,0.00008496501,0.00004841022],"domain_scores_gemma":[0.9996749,0.0001159526,0.00007430014,0.00002108168,0.00005294312,0.00006094465],"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":[0.0002430853,0.000026333,0.0002998061,0.0000344005,0.000005677954,0.00001848245,0.0000137448,0.0000430605,0.998535,0.00001396762,0.00001619789,0.0007502304],"study_design_scores_gemma":[0.000007028901,0.0004351871,0.00699233,0.000004906631,0.00001315278,0.00005161416,0.00002618851,0.0004259846,0.991297,0.00001614998,0.0007235719,0.00000691812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966612,0.0009646469,0.0005420894,0.00007907649,0.00002566129,0.00002236476,0.0003244121,0.00003678545,0.001343719],"genre_scores_gemma":[0.9924056,0.0009194803,0.002993061,0.0001145572,0.00001443333,0.00004288847,0.0007609149,0.00003145047,0.002717525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003517432,"threshold_uncertainty_score":0.00699389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002889861603218745,"score_gpt":0.1799593475148501,"score_spread":0.1770694859116314,"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."}}