{"id":"W1989097861","doi":"10.1128/aem.00172-11","title":"Identification of Nitrogen-Incorporating Bacteria in Petroleum-Contaminated Arctic Soils by Using [ <sup>15</sup> N]DNA-Based Stable Isotope Probing and Pyrosequencing","year":2011,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada; Biotechnology Research Institute","funders":"Natural Resources Canada","keywords":"Stable-isotope probing; AlkB; Actinobacteria; Bioremediation; Environmental chemistry; Pyrosequencing; Proteobacteria; Soil water; Soil microbiology; Soil contamination; Microorganism; Biology; Chemistry; Bacteria; Contamination; 16S ribosomal RNA; Ecology; DNA; Biochemistry; Gene; DNA repair; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001877699,0.000528395,0.0003388956,0.0007741041,0.0007143434,0.000552664,0.0003340094,0.0003393039,0.000341758],"category_scores_gemma":[0.0003433,0.0002438349,0.0002751311,0.0008870845,0.0004794245,0.0001843562,0.0003235491,0.000269022,0.0001991905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284353,"about_ca_system_score_gemma":0.002376714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3049474,"about_ca_topic_score_gemma":0.4563025,"domain_scores_codex":[0.9995413,0.00002097871,0.0000220392,0.0001323756,0.0001820936,0.0001012263],"domain_scores_gemma":[0.9997422,0.00002959287,0.00004299164,0.000009271775,0.0001296269,0.00004621497],"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":[0.000187984,0.00002755196,0.02119735,0.00007525268,0.00001237365,0.00007868023,0.0002108755,0.0002926265,0.9727803,0.00003335415,0.00004742363,0.005056133],"study_design_scores_gemma":[0.000015023,0.000362774,0.6065316,0.00004573491,0.00005548155,0.0003026405,0.001332743,0.00329628,0.3844989,0.0001046069,0.003419791,0.00003453421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99559,0.000314717,0.001345328,0.00002939979,0.0000059829,0.00004508158,0.001559419,0.00002656168,0.001083618],"genre_scores_gemma":[0.97815,0.001016087,0.01343979,0.0001452138,0.000009067667,0.000113138,0.003787161,0.00002708743,0.003312494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3049474,"threshold_uncertainty_score":0.6063449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008934903968721136,"score_gpt":0.1749514861597026,"score_spread":0.1660165821909815,"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."}}