{"id":"W2474975949","doi":"10.1007/s00253-014-6159-8","title":"Importance of Rhodococcus strains in a bacterial consortium degrading a mixture of hydrocarbons, gasoline, and diesel oil additives revealed by metatranscriptomic analysis","year":2014,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Association Nationale de la Recherche et de la Technologie","keywords":"Rhodococcus; Actinobacteria; Bacteria; Microorganism; Chemistry; Biodegradation; Microbacterium; Food science; Strain (injury); Microbiology; Microbial biodegradation; Degradation (telecommunications); Biology; Biochemistry; Pseudomonas; Organic chemistry; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002711256,0.0001771887,0.0005507719,0.0001594644,0.00003417863,0.000003219457,0.0001496424,0.0004267613,0.0001173528],"category_scores_gemma":[0.0000353155,0.000149004,0.00005112819,0.0003883516,0.001195096,0.0000260621,0.00008585381,0.0001788784,0.000002127445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001765621,"about_ca_system_score_gemma":0.000007923916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006334236,"about_ca_topic_score_gemma":0.001112656,"domain_scores_codex":[0.9988048,0.00006835118,0.0004292181,0.0004159362,0.00002878634,0.000252916],"domain_scores_gemma":[0.9994677,0.00006486392,0.0002581444,0.0001672,0.000004226387,0.00003788402],"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":[0.00007637474,0.00004691358,0.033014,0.00001666366,0.00009792684,6.423207e-7,0.00009188949,5.304885e-7,0.9635445,0.0002161108,0.0001601556,0.0027343],"study_design_scores_gemma":[0.001513751,0.0001452868,0.04051717,0.00001429788,0.0002207663,0.00001773826,0.0001697441,0.00004682722,0.9550101,0.0001684826,0.001877456,0.0002984368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987298,0.0002196887,0.0001063707,0.000286569,0.00003011601,0.0001177854,0.0002891374,0.00001963167,0.000200935],"genre_scores_gemma":[0.9981992,0.0005543175,0.000962981,0.0001252489,0.000005684616,0.000005799977,0.0001205547,0.000005968953,0.00002020323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008534458,"threshold_uncertainty_score":0.6076207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003966290215414236,"score_gpt":0.1894344812281386,"score_spread":0.1854681910127244,"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."}}