{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002909751,0.0002066912,0.0002529924,0.00005954902,0.00009984097,0.00001645652,0.0001112749,0.0001432916,0.0003812135],"category_scores_gemma":[0.000005222443,0.0002031216,0.0000245666,0.00009204423,0.0004437314,0.0001241968,0.0001360538,0.0001151241,0.00002457629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915249,"about_ca_system_score_gemma":0.000009602616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003262428,"about_ca_topic_score_gemma":0.00004746433,"domain_scores_codex":[0.9986464,0.00006738005,0.0004782693,0.0004523528,0.00005388221,0.0003016881],"domain_scores_gemma":[0.9994919,0.00002275338,0.0002793272,0.000143224,0.000001872335,0.00006089899],"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":[0.00003851007,0.00008553265,0.1008591,0.00002055124,0.000007879186,0.000001462187,0.0004366074,0.0001259595,0.8980308,0.000004578375,0.000008049942,0.0003809167],"study_design_scores_gemma":[0.0009714942,0.00006997794,0.02195167,0.00002307703,0.0000220844,0.00001953942,0.0006228333,0.002438492,0.9734856,0.00007060144,0.00004597074,0.0002786833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992809,0.00005575358,0.0001256742,0.00001000747,0.00002182192,0.0003315331,0.00009962033,0.00001306991,0.00006165255],"genre_scores_gemma":[0.9989015,0.0000232452,0.0007416134,0.0001250935,0.000005758223,0.000009735506,0.0001601142,0.00001765579,0.00001530887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07890747,"threshold_uncertainty_score":0.8283059,"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."}}