{"id":"W2139846273","doi":"10.1061/(asce)ee.1943-7870.0000606","title":"Quantification of Hydrocarbon Contaminants in Meltwater and Sediment in a City Snow Pile","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meltwater; Snow; Snowmelt; Sediment; Environmental science; Pollutant; Hydrology (agriculture); Hydrocarbon; Contamination; Environmental chemistry; Pollution; Geology; Geotechnical engineering; Geomorphology; Chemistry; Ecology","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":[0.0000944004,0.0002948534,0.0001660782,0.001576488,0.0008581071,0.0005421276,0.0001972915,0.0002961488,0.0004901434],"category_scores_gemma":[0.0001318888,0.0001634985,0.0002064439,0.001028352,0.0002910444,0.0001431191,0.000270943,0.0001293248,0.0001217667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009388224,"about_ca_system_score_gemma":0.001024324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1991224,"about_ca_topic_score_gemma":0.3975798,"domain_scores_codex":[0.9998294,0.000006893612,0.00000867916,0.00003405958,0.00008740523,0.00003354903],"domain_scores_gemma":[0.9999182,0.000006938999,0.00001913965,0.000003241301,0.00003570139,0.00001669256],"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":[0.0003200661,0.00009345153,0.306391,0.0001211047,0.00007328298,0.0008377336,0.00096978,0.001776799,0.6712908,0.00006335518,0.0001331646,0.01792946],"study_design_scores_gemma":[0.00001111058,0.0003153133,0.8679028,0.00003177725,0.00005231016,0.0003095203,0.001567007,0.004874618,0.1233654,0.00005056843,0.001497755,0.00002189984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990709,0.00003332989,0.0002988454,0.000004242959,8.905523e-7,0.00001839696,0.000245225,0.00001106224,0.0003171254],"genre_scores_gemma":[0.9969335,0.00014543,0.001527974,0.00001169248,0.000001909536,0.00001365601,0.0005661715,0.000004935467,0.0007947412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991224,"threshold_uncertainty_score":0.3959267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006807709348504048,"score_gpt":0.1862576756173332,"score_spread":0.1794499662688291,"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."}}