{"id":"W2156583979","doi":"10.1039/b403874f","title":"Characterisation of weathered hydrocarbon wastes at contaminated sites by GC-simulated distillation and nitrous oxide chemical ionisation GC-MS, with implications for bioremediation","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental Monitoring","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Bioremediation; Environmental chemistry; Chemistry; Contamination; Alkylbenzenes; Asphaltene; Hydrocarbon; Distillation; Soil water; Soil contamination; Vacuum distillation; Nitrous oxide; Gas chromatography; Environmental science; Chromatography; Organic chemistry; Soil science; Benzene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000141346,0.0001427494,0.0001805713,0.00004556027,0.00009260241,0.00001909927,0.00007562752,0.00008924813,0.00002397581],"category_scores_gemma":[0.00002926915,0.000120764,0.0000455115,0.00008267847,0.0001143129,0.0002963628,0.00003631326,0.00007383002,0.000003612095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006080642,"about_ca_system_score_gemma":0.000007044244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003234381,"about_ca_topic_score_gemma":0.000005825996,"domain_scores_codex":[0.9989883,0.0000223429,0.0004432531,0.0001696629,0.0002325047,0.000143946],"domain_scores_gemma":[0.9991252,0.00005091838,0.0006350479,0.00008600569,0.00001325477,0.00008956796],"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":[0.0001141197,0.000072772,0.3227123,0.000005082168,0.00001471903,2.244495e-7,0.0001636981,0.0003021261,0.6757383,7.440357e-7,0.000008843891,0.0008670646],"study_design_scores_gemma":[0.00104737,0.0001616954,0.5019501,0.00002263012,0.00003654056,0.00001113872,0.0000636723,0.00009457169,0.4964395,0.00002616271,0.00005490453,0.00009164606],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999059,0.0000568162,0.0002822989,0.0001671885,0.00006595257,0.0002799501,0.00006723624,0.000009006135,0.00001258624],"genre_scores_gemma":[0.9985766,0.0001147685,0.001054692,0.00001080001,0.00009318013,0.000003061843,0.0001155566,0.00001574383,0.00001554742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1792988,"threshold_uncertainty_score":0.4924614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007926671470337023,"score_gpt":0.2072588182948026,"score_spread":0.1993321468244656,"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."}}