{"id":"W2744725584","doi":"10.1038/ismej.2017.129","title":"Chemical dispersants enhance the activity of oil- and gas condensate-degrading marine bacteria","year":2017,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"Armand Frappier Museum; Fisheries and Oceans Canada; Institut National de la Recherche Scientifique; National Research Council Canada","funders":"Natural Resources Canada; Environmental Studies Research Funds; Dalhousie University; Compute Canada; Suncor Energy Incorporated; McGill University","keywords":"Dispersant; Biodegradation; Context (archaeology); AlkB; Environmental chemistry; Hopanoids; Metagenomics; Hydrocarbon; Residual oil; Petroleum; Environmental science; Microorganism; Biology; Bacteria; Chemistry; Ecology; Dispersion (optics); Organic chemistry; Source rock","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":[0.0001225165,0.0004653235,0.0002740342,0.000194833,0.0001765173,0.0004467216,0.0001778937,0.0002476651,0.0005312731],"category_scores_gemma":[0.0002124386,0.0001032129,0.0002590108,0.0001966853,0.0001782436,0.0002077157,0.0003613707,0.000250308,0.0001103912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007698312,"about_ca_system_score_gemma":0.0009487121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0281254,"about_ca_topic_score_gemma":0.04118052,"domain_scores_codex":[0.9998073,0.00001545685,0.00001378877,0.00004757272,0.00006234185,0.00005347847],"domain_scores_gemma":[0.999871,0.00001792629,0.00002754395,0.00000766394,0.00003793077,0.00003791666],"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":[0.0001597507,0.00004601228,0.002461111,0.00006407899,0.000008903255,0.00002629473,0.00003337787,0.0003774153,0.9940342,0.00002569392,0.0000268298,0.002736345],"study_design_scores_gemma":[0.0000327662,0.001221409,0.08495021,0.00001657443,0.00005824903,0.00006906459,0.0003605334,0.003201188,0.9075774,0.00006539253,0.002428503,0.00001880882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987106,0.000298035,0.000283494,0.00003691133,0.000005517273,0.00001779941,0.0001644784,0.00001461406,0.0004684732],"genre_scores_gemma":[0.997121,0.0003880934,0.001126208,0.00003615543,0.00000332692,0.00001759404,0.0002934477,0.000006042496,0.001008071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0281254,"threshold_uncertainty_score":0.0559234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255534192217369,"score_gpt":0.2440145646242913,"score_spread":0.2314592227021176,"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."}}