{"id":"W2074093588","doi":"10.1109/icbbe.2010.5517455","title":"Application of Hog Fuel for the Bioremediation of Oil Contaminated Soils","year":2010,"lang":"en","type":"article","venue":"International Conference on Bioinformatics and Biomedical Engineering","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Environmental remediation; Dispose pattern; Bioremediation; Petroleum; Environmental science; Soil water; Waste management; Soil contamination; Petroleum product; Contamination; Fuel oil; Pulp and paper industry; Environmental engineering; Chemistry; Engineering; Soil science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001990618,0.0003551446,0.0004101901,0.0002186534,0.0003187472,0.0004602881,0.0003290501,0.0003048611,0.0005944383],"category_scores_gemma":[0.0003124946,0.0001079758,0.0002863447,0.0002375737,0.0001892803,0.0001893944,0.0002767929,0.0002857355,0.0001016427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030599,"about_ca_system_score_gemma":0.0005067277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005369585,"about_ca_topic_score_gemma":0.01531957,"domain_scores_codex":[0.9997479,0.00006167284,0.00001983114,0.00005265779,0.00006647065,0.00005150168],"domain_scores_gemma":[0.9997216,0.00007387254,0.00007514629,0.00002409953,0.00006465615,0.00004047846],"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":[0.0002789976,0.000144827,0.001142397,0.0001119568,0.00001136021,0.00006837769,0.00004973278,0.0001033535,0.9930205,0.0000101951,0.00001161503,0.005046656],"study_design_scores_gemma":[0.000008353447,0.002135841,0.009580641,0.00001035003,0.00002325728,0.00007567593,0.0001202101,0.0002368113,0.9871595,0.00001002309,0.0006326495,0.000006693939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990344,0.0001997846,0.0004108826,0.00001783555,0.000007263766,0.00002643668,0.00004391734,0.000006897334,0.0002525519],"genre_scores_gemma":[0.994812,0.0005866505,0.003477563,0.00002509434,0.000005631023,0.00002629576,0.00009319742,0.000005810679,0.0009678008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005369585,"threshold_uncertainty_score":0.01067662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008581120565310598,"score_gpt":0.2236628900112495,"score_spread":0.2150817694459389,"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."}}