{"id":"W2106923425","doi":"10.1680/jees.2013.0043","title":"Management of hydrocarbon-contaminated soil through bioremediation and landfill disposal at a remote location in Northern Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Bioremediation; Leachate; Soil contamination; Microcosm; Waste management; Contamination; Environmental engineering; Soil Pollutants; Petroleum; Biodegradation; Biostimulation; Total petroleum hydrocarbon; Bioaugmentation; Environmental chemistry; Soil water; Soil science; Geology; Chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001844166,0.00007529755,0.00009581521,0.00003717976,0.00003361183,0.00001089615,0.00009275983,0.00002159857,0.00004405156],"category_scores_gemma":[0.00001009916,0.00006186136,0.000009715326,0.0001592071,0.0001346277,0.0002495429,0.00008380989,0.00005529334,0.000002711577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250222,"about_ca_system_score_gemma":0.00001323198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009380582,"about_ca_topic_score_gemma":0.01111711,"domain_scores_codex":[0.9992166,0.00000727219,0.0002306159,0.0001177516,0.0002971344,0.0001306974],"domain_scores_gemma":[0.9997306,0.0000115759,0.0001230168,0.00005694765,0.000003995145,0.00007384208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001289933,0.0000365719,0.187104,0.00002417228,0.000007505123,0.0000130634,0.0004036608,0.007221072,0.7967522,0.000003137432,0.00002620619,0.008395477],"study_design_scores_gemma":[0.0003616648,0.00005545486,0.9644046,0.0000411866,0.000006011996,0.00002075741,0.0001304162,0.01580977,0.0189832,0.000007495991,0.00008973057,0.00008966921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995283,0.00008341418,0.00006759013,0.0000795704,0.00007100451,0.00007759345,0.000002301505,0.000001711109,0.00008848218],"genre_scores_gemma":[0.9991844,0.000203372,0.0005523674,0.00001812619,0.000006238276,3.336702e-7,9.473122e-7,0.000003447961,0.0000307262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.777769,"threshold_uncertainty_score":0.997216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002186077348249999,"score_gpt":0.1510752079039036,"score_spread":0.1488891305556536,"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."}}