{"id":"W2903645341","doi":"10.1016/j.chemosphere.2018.12.108","title":"Local fungi, willow and municipal compost effectively remediate petroleum-contaminated soil in the Canadian North","year":2018,"lang":"en","type":"article","venue":"Chemosphere","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Yukon University; University of Saskatchewan; Université de Montréal; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Willow; Compost; Environmental science; Soil contamination; Petroleum; Contamination; Waste management; Soil Pollutants; Environmental protection; Environmental engineering; Soil water; Engineering; Ecology; Geology; Biology; Soil science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002816663,0.0001433073,0.0001517954,0.00002004361,0.0002585384,0.00006550841,0.0002557993,0.0000660294,0.0004675245],"category_scores_gemma":[0.00005125601,0.00009691973,0.00002031747,0.0003098923,0.0003151922,0.000119216,0.00001455389,0.0002178065,0.0002292905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001705251,"about_ca_system_score_gemma":0.0001221688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4591298,"about_ca_topic_score_gemma":0.9908612,"domain_scores_codex":[0.9989299,0.00007545975,0.0001264151,0.0002767818,0.0001650302,0.0004264182],"domain_scores_gemma":[0.9994473,0.00008411724,0.00003479797,0.0002116567,0.00004906977,0.0001730257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007481589,0.00001496661,0.9102641,0.00002374634,0.0000132211,0.0000568781,0.002075318,0.0002116566,0.00002784486,0.000007038596,0.001726288,0.08550415],"study_design_scores_gemma":[0.0003554099,0.0001791263,0.9776322,0.00001612783,0.000008787103,0.00002172498,0.0004570396,0.007917921,0.0002657243,0.00002992149,0.01296841,0.0001476095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842631,0.0007054361,0.000001588909,0.0006463217,0.0001918417,0.0001466504,0.00003374044,0.00001681227,0.01399449],"genre_scores_gemma":[0.9987577,0.00002630539,0.00002615014,0.0005953301,0.0001700633,0.000001218194,0.00008753902,0.00000385684,0.000331808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5317314,"threshold_uncertainty_score":0.5444719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009810286506277544,"score_gpt":0.1861890620616964,"score_spread":0.1763787755554189,"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."}}