{"id":"W1967607672","doi":"10.1016/j.ibiod.2014.01.010","title":"Optimization of field scale biopiles for bioremediation of petroleum hydrocarbon contaminated soil at low temperature conditions by response surface methodology (RSM)","year":2014,"lang":"en","type":"article","venue":"International Biodeterioration & Biodegradation","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":145,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Mitacs","keywords":"Bioremediation; Compost; Environmental remediation; Response surface methodology; Factorial experiment; Amendment; Environmental science; Microbial consortium; Total petroleum hydrocarbon; Coefficient of determination; Polycyclic aromatic hydrocarbon; Contamination; Microcosm; Soil water; Environmental chemistry; Soil contamination; Environmental engineering; Chemistry; Soil science; Microorganism; Waste management; Mathematics; Ecology; Biology; Chromatography; Statistics; Engineering","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":[0.0005044718,0.0006314447,0.000436145,0.0002620039,0.0001890778,0.0004886178,0.0003063251,0.0004819406,0.0004239138],"category_scores_gemma":[0.0004982708,0.0002001411,0.0005035369,0.0002838677,0.0001753365,0.0003253552,0.000239377,0.0005127308,0.0001916715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286654,"about_ca_system_score_gemma":0.0003563605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009428042,"about_ca_topic_score_gemma":0.001904795,"domain_scores_codex":[0.9997007,0.00008450448,0.000035591,0.00004972663,0.00007887425,0.00005064931],"domain_scores_gemma":[0.9998,0.00005740957,0.00005006879,0.00001718453,0.00005742786,0.00001794425],"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":[0.0001007889,0.0001055407,0.000141629,0.00005331283,0.000006943831,0.00001251483,0.00001157777,0.0005750586,0.996549,0.00001804049,0.00001367248,0.002411952],"study_design_scores_gemma":[0.000007911257,0.0004656058,0.0009220095,0.000003508671,0.00001183913,0.00001608176,0.00002031311,0.0008510479,0.9974465,0.00001130274,0.0002377702,0.000005914068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921768,0.0006221724,0.006266762,0.00005534247,0.00001632365,0.0000767552,0.0002733162,0.00005247846,0.000460017],"genre_scores_gemma":[0.9886071,0.000687285,0.009374482,0.00002345582,0.000007958173,0.00008931098,0.0004041801,0.00001911464,0.0007869852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009428042,"threshold_uncertainty_score":0.002667964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075174158676054,"score_gpt":0.2472882430032599,"score_spread":0.2365365014164994,"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."}}