{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002077695,0.0002533483,0.0002989504,0.00004025001,0.00009365594,0.00001251373,0.00005789659,0.0001456212,0.00001672804],"category_scores_gemma":[0.000001471626,0.000200082,0.00002120284,0.000046437,0.0003886546,0.00008673039,0.0001217151,0.0001254126,0.00000868437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003458027,"about_ca_system_score_gemma":0.000001244404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003199093,"about_ca_topic_score_gemma":0.000006620206,"domain_scores_codex":[0.9989278,0.0001055172,0.0001751569,0.0004919666,0.00005493313,0.0002446032],"domain_scores_gemma":[0.9995998,0.00009662681,0.00008074343,0.0001364934,4.039918e-7,0.00008591935],"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":[0.0004083269,0.0001107567,0.01921276,0.0000127521,0.000006650309,0.000004348121,0.0001098622,0.000004392746,0.9629602,0.00001060753,0.00003009866,0.01712919],"study_design_scores_gemma":[0.002220835,0.0007249827,0.03202506,0.00001548917,0.00002957624,0.00008016433,0.0000411814,0.00001362066,0.9643346,0.0001387333,0.0001832187,0.00019254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986076,0.0003839445,0.000006775364,0.00007793836,0.00001356357,0.0003827057,0.00002653768,0.00001112235,0.0004898642],"genre_scores_gemma":[0.9984619,0.0009531438,0.0002990123,0.0001831256,0.000009786888,0.00001603657,0.00003736066,0.00001068,0.00002897269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01693665,"threshold_uncertainty_score":0.8159106,"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."}}