{"id":"W2750824265","doi":"10.7717/peerj.4098","title":"Denitrifying metabolism of the methylotrophic marine bacterium <i>Methylophaga nitratireducenticrescens</i> strain JAM1","year":2017,"lang":"en","type":"article","venue":"PeerJ","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Armand Frappier Museum; Ste. Anne's Hospital; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Denitrifying bacteria; Nitrous-oxide reductase; Denitrification; Nitrite reductase; Nitrate reductase; Anoxic waters; Nitrite; Nitric oxide; Nitrate; Strain (injury); Nitrous oxide; Reductase; Bacteria; Ammonia; Biology; Chemistry; Biochemistry; Environmental chemistry; Enzyme; Nitrogen; Ecology; Genetics; 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":[0.0001281152,0.0005086673,0.0002826467,0.0001947142,0.0001766242,0.0002390611,0.0002955897,0.0002254896,0.0003843714],"category_scores_gemma":[0.0001801781,0.00010119,0.0002070152,0.0001795441,0.00009915556,0.0001546695,0.0003863848,0.0002630133,0.0001417128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004522,"about_ca_system_score_gemma":0.0002058605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003522191,"about_ca_topic_score_gemma":0.004164777,"domain_scores_codex":[0.9998007,0.00002841486,0.00002364657,0.00004659652,0.00006280858,0.0000378218],"domain_scores_gemma":[0.9999107,0.0000119897,0.00002458269,0.000009621893,0.0000210472,0.00002200651],"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":[0.00008946923,0.00003944284,0.00102786,0.00003727037,0.000003760145,0.00003238341,0.00002280244,0.00006106284,0.9978409,0.000013057,0.00002002984,0.0008119241],"study_design_scores_gemma":[0.00001640193,0.001052907,0.05705024,0.00001827966,0.00005005239,0.0003626035,0.0002342585,0.001223515,0.9380002,0.00003168869,0.001938427,0.00002137965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986579,0.0002666643,0.0002036399,0.00003043452,0.00000639956,0.00001331432,0.0003794112,0.00001184455,0.0004301936],"genre_scores_gemma":[0.994128,0.0004509877,0.00154432,0.00003554048,0.000007023502,0.00002254863,0.002434529,0.00001237871,0.001364777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003522191,"threshold_uncertainty_score":0.007003367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593321048910485,"score_gpt":0.2339058010540505,"score_spread":0.2179725905649456,"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."}}