{"id":"W1583563192","doi":"10.1002/etc.2285","title":"Is it clean or contaminated soil? Using petrogenic versus biogenic GC-FID chromatogram patterns to mathematically resolve false petroleum hydrocarbon detections in clean organic soils: A crude oil–spiked peat microcosm experiment","year":2013,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakes Environmental (Canada); Geological Survey of Canada; Environment and Climate Change Canada; University of Waterloo","funders":"Syncrude; Petroleum Technology Alliance Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Association of Petroleum Producers","keywords":"Peat; Microcosm; Environmental chemistry; Soil water; Hydrocarbon; Flame ionization detector; Chemistry; Petroleum; Contamination; Soil test; Environmental science; Crude oil; Gas chromatography; Soil contamination; Extraction (chemistry); Chromatography; Soil science; Geology; Petroleum engineering; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006668672,0.0003961403,0.0003649105,0.0003329507,0.0001767898,0.0008958628,0.0003442606,0.0006564883,0.0002856097],"category_scores_gemma":[0.001579712,0.0002924438,0.0003279849,0.0002953288,0.0005715616,0.0003781318,0.0003230048,0.0003432786,0.0001193953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006198203,"about_ca_system_score_gemma":0.0005493729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033152,"about_ca_topic_score_gemma":0.02655992,"domain_scores_codex":[0.9994786,0.00008574263,0.00004381552,0.0001361443,0.0001813327,0.00007432199],"domain_scores_gemma":[0.9991353,0.0003154043,0.000239203,0.00008013589,0.0001438392,0.00008616945],"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":[0.0008966703,0.0001166125,0.02211396,0.00006949854,0.00007378113,0.0001461128,0.00005817024,0.0009742611,0.9666252,0.0001348615,0.00004131411,0.008749493],"study_design_scores_gemma":[0.00004807362,0.001589673,0.1109772,0.00002206115,0.0001453877,0.0003745181,0.0003064965,0.02251794,0.8623308,0.0006031091,0.001008993,0.00007583062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926375,0.0001631961,0.006514617,0.00007381277,0.000009081208,0.00003914761,0.0001925871,0.00003754742,0.0003325164],"genre_scores_gemma":[0.9906357,0.000216909,0.008520637,0.000113661,0.000003393876,0.00002330446,0.0001502436,0.0000129146,0.0003231792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033152,"threshold_uncertainty_score":0.02054274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170371789829552,"score_gpt":0.2316663273839057,"score_spread":0.2199626094856102,"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."}}