{"id":"W2110786038","doi":"10.1128/genomea.01165-13","title":"Complete Genome Sequence of <i>Hyphomicrobium nitrativorans</i> Strain NL23, a Denitrifying Bacterium Isolated from Biofilm of a Methanol-Fed Denitrification System Treating Seawater at the Montreal Biodome","year":2014,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Armand Frappier Museum; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Universitaire Stichting","keywords":"Denitrifying bacteria; Biofilm; Strain (injury); Bacteria; Whole genome sequencing; Microbiology; Denitrification; Biology; Seawater; Methanol; Aerobic denitrification; Genome; Chemistry; Biochemistry; Gene; Ecology; Nitrogen; Genetics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004845913,0.0004022226,0.0005491924,0.00009815668,0.0003129813,0.00005689179,0.0005828439,0.000128493,0.000352362],"category_scores_gemma":[0.000009391434,0.0002933237,0.000186333,0.0004424485,0.0003225415,0.0002515979,0.0002404961,0.000126627,0.0002603318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004560275,"about_ca_system_score_gemma":0.00002490599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00460195,"about_ca_topic_score_gemma":0.0003461717,"domain_scores_codex":[0.9971157,0.0003843714,0.0008457807,0.0006128772,0.0004884406,0.000552812],"domain_scores_gemma":[0.9984542,0.0001031546,0.0006058915,0.0006586998,0.00006039959,0.0001176749],"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":[0.0002933855,0.0001049641,0.008194226,0.0000502185,0.0002183777,0.000007265534,0.001563517,0.0001699332,0.9890777,0.000002801618,0.000009804768,0.0003077495],"study_design_scores_gemma":[0.009314613,0.001559484,0.07463101,0.0002599027,0.001135623,0.0001150381,0.002573854,0.007085963,0.8965747,0.0001869547,0.004855174,0.001707617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941528,0.0001272505,0.001080314,0.00005355712,0.00009884921,0.0007882911,0.003007445,0.00004928637,0.000642223],"genre_scores_gemma":[0.9945943,0.00001542959,0.002478872,0.00004708627,0.00004670976,0.00004835432,0.002235607,0.00003626346,0.0004973301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.092503,"threshold_uncertainty_score":0.9999519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221027216973334,"score_gpt":0.2158323197108514,"score_spread":0.193729598013518,"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."}}