{"id":"W2905661020","doi":"10.1016/j.jconhyd.2018.12.005","title":"Characterizing the immiscible transport properties of diesel and water in peat soil","year":2018,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Saturation (graph theory); Groundwater; Aquifer; Environmental science; Diesel fuel; Soil science; Hydrocarbon; Multiphase flow; Water flow; Characterisation of pore space in soil; Wetting; Chemistry; Geotechnical engineering; Geology; Porosity; Materials science; Mechanics; Composite material","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":[0.0001803973,0.0001673313,0.0001388789,0.000389751,0.000224135,0.0004968743,0.0001833147,0.0002023201,0.0004304598],"category_scores_gemma":[0.0004516935,0.0001085136,0.0001188845,0.0002404014,0.0002723311,0.0006007605,0.0002404229,0.0002583569,0.0001051174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004936172,"about_ca_system_score_gemma":0.0005038432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553421,"about_ca_topic_score_gemma":0.01498423,"domain_scores_codex":[0.9999152,0.00000724001,0.000005033461,0.00002653947,0.00001951433,0.00002640617],"domain_scores_gemma":[0.9998507,0.0000610616,0.00002639253,0.000006553713,0.00003459588,0.00002071405],"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":[0.0006638332,0.00011668,0.07761289,0.0001006407,0.00003346915,0.0001762257,0.0001496541,0.007120516,0.9038009,0.0008368649,0.00007447689,0.009313786],"study_design_scores_gemma":[0.00003828968,0.0005267264,0.1750682,0.00002287585,0.00005705275,0.0002299945,0.001338711,0.1005783,0.7195561,0.00113951,0.001378812,0.00006550994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991558,0.00004502929,0.0005010904,0.000004349735,0.000001521125,0.00000318441,0.00006878277,0.000002615276,0.0002177608],"genre_scores_gemma":[0.999342,0.00008679891,0.0002359839,0.000003756164,9.518387e-7,0.000003130993,0.00008365555,0.000002964919,0.0002407405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553421,"threshold_uncertainty_score":0.0308876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009215920078930405,"score_gpt":0.1985845980812561,"score_spread":0.1893686780023257,"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."}}