{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002766141,0.0002116244,0.000273396,0.0000246653,0.000470986,0.0001030785,0.0008653243,0.00007002208,0.001237632],"category_scores_gemma":[0.00007950672,0.0001395954,0.0002155187,0.00009190109,0.0003949105,0.0002476596,0.0007114568,0.0001596827,0.0001412011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004474572,"about_ca_system_score_gemma":0.00001639369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008949054,"about_ca_topic_score_gemma":0.000111446,"domain_scores_codex":[0.9985515,0.0001076712,0.0002614125,0.0003020325,0.0004259296,0.0003514013],"domain_scores_gemma":[0.9986938,0.00002874384,0.000251688,0.0009081204,0.00001724352,0.0001003753],"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":[0.00003445929,0.0001016526,0.04618623,0.00001155085,0.00006164046,0.0000141136,0.0001913833,0.00001536996,0.9454116,0.00008097177,0.000227804,0.007663243],"study_design_scores_gemma":[0.0006061214,0.00001982608,0.4892651,0.000008328481,0.0001074891,0.000015475,0.00002404979,0.00005420379,0.5069752,0.0007571449,0.002016673,0.0001503905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932206,0.00007549571,0.00001650732,0.0007465594,0.0004181975,0.0002466084,0.00003676894,0.00002234015,0.005216934],"genre_scores_gemma":[0.9916441,0.00001792698,0.005494766,0.00007289354,0.0001037962,0.00001057225,0.000008597749,0.00002296463,0.002624418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4430788,"threshold_uncertainty_score":0.9996754,"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."}}