{"id":"W2136078548","doi":"10.1080/15226510802655971","title":"TECHNICAL NOTE: NITROGEN FERTILIZATION EFFECTS ON THE DEGRADATION OF AGED DIESEL OIL IN COMPOSTED DRILLING WASTES","year":2009,"lang":"en","type":"article","venue":"International Journal of Phytoremediation","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Killam Trusts","keywords":"Compost; Total petroleum hydrocarbon; Chemistry; Degradation (telecommunications); Human fertilization; Hydrocarbon; Decomposition; Agronomy; Biodegradation; Polycyclic aromatic hydrocarbon; Environmental chemistry; Soil contamination; Soil water; Animal science; Environmental science; Soil science; Biology","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":[0.002209705,0.0004565913,0.0002605551,0.0004567223,0.0006636202,0.0003288027,0.0009026066,0.0005476074,0.003421221],"category_scores_gemma":[0.001969983,0.0001773975,0.0005642833,0.0004291809,0.0003802713,0.0004656246,0.0006722128,0.0004242809,0.001575505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000538923,"about_ca_system_score_gemma":0.001107654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003703324,"about_ca_topic_score_gemma":0.005588918,"domain_scores_codex":[0.9987457,0.000269838,0.0002421651,0.0002116077,0.0004415889,0.00008912828],"domain_scores_gemma":[0.9975114,0.0003878349,0.000250444,0.0003687771,0.001243427,0.0002381349],"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":[0.0007190631,0.0001684317,0.003747793,0.0004758613,0.00002558023,0.0006797984,0.0002380451,0.0003903067,0.9776551,0.000299407,0.00140622,0.01419443],"study_design_scores_gemma":[0.00004542037,0.0007456848,0.008061803,0.00003018111,0.00004257679,0.0009274902,0.0001359637,0.0005391528,0.9676615,0.000152978,0.02162741,0.0000298453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241338,0.00378331,0.04947006,0.00356373,0.002341249,0.002009319,0.002513436,0.0005440961,0.01164092],"genre_scores_gemma":[0.8409731,0.006006553,0.08758141,0.0008502756,0.0006817723,0.00134471,0.003574537,0.0001606159,0.05882694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003703324,"threshold_uncertainty_score":0.01168621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100445347297804,"score_gpt":0.2524920745489174,"score_spread":0.242447539819137,"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."}}