{"id":"W2914541138","doi":"10.1002/jctb.5945","title":"Microbial degradation of four dispersed crude oils by <i>Rhodococcus</i> sp. evaluated using carbon stable isotope analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Biodegradation; Isotopes of carbon; Environmental chemistry; Fractionation; Chemistry; Isotope-ratio mass spectrometry; Residual oil; Microbial biodegradation; Isotope analysis; Isotope fractionation; Carbon fibers; Gas chromatography; Stable isotope ratio; Chromatography; Total organic carbon; Organic chemistry; Microorganism; Ecology; Geology; Materials science; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002765935,0.0004650275,0.000279125,0.0003321682,0.0001146257,0.0004054638,0.0002200979,0.0002539924,0.0002392197],"category_scores_gemma":[0.0003548426,0.0001298096,0.0003251887,0.0002927434,0.0002193728,0.0002087061,0.0002536132,0.0002002478,0.0001341546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316367,"about_ca_system_score_gemma":0.0002786296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003059553,"about_ca_topic_score_gemma":0.002860167,"domain_scores_codex":[0.9997119,0.00005090867,0.00003847416,0.0000536628,0.0001087344,0.00003625636],"domain_scores_gemma":[0.999828,0.00002875887,0.00004341495,0.00001396842,0.00006506332,0.00002083684],"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":[0.0000735358,0.00002766361,0.000955043,0.00002221528,0.000007140816,0.00002035752,0.00001074601,0.0001253847,0.9976199,0.00001193219,0.000004250739,0.001121828],"study_design_scores_gemma":[0.000005593741,0.0003970954,0.005059269,0.000003671744,0.00002182395,0.00006594442,0.0000312885,0.0008378122,0.9934273,0.000009542762,0.0001352516,0.000005552798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998483,0.0001475243,0.000983038,0.000009439963,0.000002944544,0.00001715471,0.0000976088,0.00001108697,0.0002481426],"genre_scores_gemma":[0.9942738,0.0002866805,0.004541141,0.00000986244,0.000002266387,0.00001921215,0.0003525329,0.000008231643,0.000506197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003059553,"threshold_uncertainty_score":0.006083488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009645895450078507,"score_gpt":0.2300873267505684,"score_spread":0.2204414313004899,"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."}}