{"id":"W2605853676","doi":"10.5539/enrr.v7n2p37","title":"Distribution of Dehalococcoides 16S rRNA and Dehalogenase Genes in Contaminated Sites","year":2017,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dehalococcoides; Dehalogenase; Bioremediation; 16S ribosomal RNA; Ribosomal RNA; Reductive dechlorination; Gene; Biology; Contamination; Environmental chemistry; Chemistry; Vinyl chloride; Ecology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006580916,0.0000996087,0.0001305152,0.00004608372,0.0003056152,0.00006439431,0.0002051689,0.00007965349,0.0002824884],"category_scores_gemma":[0.0001503833,0.00007772925,0.00001978752,0.00005917572,0.0009921419,0.0001488403,0.0004610604,0.000197246,0.00003626317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008215448,"about_ca_system_score_gemma":0.000002792645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004938034,"about_ca_topic_score_gemma":0.0003809624,"domain_scores_codex":[0.9988232,0.0001120775,0.0001685671,0.0002727136,0.0003530675,0.0002703995],"domain_scores_gemma":[0.9995232,0.00009629604,0.00007912432,0.0002023908,0.000005565873,0.00009340145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005531907,0.00002996543,0.5771337,0.000007696742,0.000003302599,0.000007192651,0.0001764858,0.000001918437,0.4033491,0.000007089161,0.0001004569,0.01912778],"study_design_scores_gemma":[0.0004205419,0.00006733071,0.9337319,0.00001367967,0.000002753482,0.000002255949,0.0001104922,0.0002291178,0.05842855,0.00004246896,0.006860043,0.00009083447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979483,0.001270496,9.29538e-7,0.0002848596,0.00001437039,0.0002067635,0.00002501228,0.000003965954,0.0002452614],"genre_scores_gemma":[0.9974067,0.001942122,0.00004118197,0.0000102407,0.00001382586,0.000003575924,0.00002684581,0.000004927524,0.0005505756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3565982,"threshold_uncertainty_score":0.3655588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569340512833888,"score_gpt":0.2884320345585785,"score_spread":0.2627386294302396,"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."}}