{"id":"W2892242347","doi":"10.1111/gwmr.12298","title":"Infiltration of Sulfate to Enhance Sulfate‐Reducing Biodegradation of Petroleum Hydrocarbons","year":2018,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; American Petroleum Institute","keywords":"Sulfate; Biodegradation; Aquifer; Environmental remediation; Environmental chemistry; Infiltration (HVAC); Petroleum; Groundwater; Contamination; Environmental science; Environmental engineering; Chemistry; Geology; Geotechnical engineering; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008949106,0.0003021475,0.0002793355,0.0001128214,0.0000861415,0.000251888,0.0001529852,0.0001235409,0.0006759736],"category_scores_gemma":[0.0001370544,0.00009503552,0.000173666,0.000143765,0.0001443229,0.0001348524,0.0002484721,0.0001906339,0.00008760252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814236,"about_ca_system_score_gemma":0.0002413729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345939,"about_ca_topic_score_gemma":0.002136445,"domain_scores_codex":[0.9999187,0.00001550897,0.000007645325,0.00001453871,0.00002510823,0.00001850611],"domain_scores_gemma":[0.9999393,0.00001213439,0.00002312843,0.000003831166,0.00001029168,0.00001134166],"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":[0.00006732719,0.00002785767,0.0001639557,0.00002701248,0.000001601721,0.00001325607,0.00001211214,0.0001234762,0.998507,0.00001455203,0.000009832246,0.001031993],"study_design_scores_gemma":[0.00001320422,0.0009957397,0.002484904,0.0000039121,0.00001098293,0.00001822584,0.00002707062,0.001664117,0.9941216,0.00001294537,0.000643386,0.000003865192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989223,0.00006827601,0.0006183328,0.00001853312,0.000005864897,0.00001640754,0.00003767821,0.00002802641,0.0002845531],"genre_scores_gemma":[0.9976211,0.0001429269,0.001413444,0.00001295591,0.000004339758,0.00001335259,0.00004660965,0.000008021412,0.0007373449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001345939,"threshold_uncertainty_score":0.002676189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161258960425976,"score_gpt":0.2539475152814952,"score_spread":0.2423349256772355,"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."}}