{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006015511,0.00007945553,0.0002685703,0.00004951177,0.00006073738,0.0000041755,0.0001600953,0.00006111423,0.0001762775],"category_scores_gemma":[0.00001144248,0.00003650686,0.00003984573,0.00004080858,0.0004797144,0.0001205237,0.00005656465,0.0001306899,0.000007799859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002012428,"about_ca_system_score_gemma":0.000009763533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001875008,"about_ca_topic_score_gemma":0.001396618,"domain_scores_codex":[0.9991614,0.00006717119,0.0003606299,0.00009347306,0.00009582627,0.0002215513],"domain_scores_gemma":[0.9996993,0.00002249711,0.0001445625,0.00008377191,0.00001469126,0.00003518137],"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":[0.0002770666,0.00004977021,0.490067,0.000008089301,0.0000165653,0.00004624085,0.003779114,0.000009937918,0.5047342,0.00001056918,0.00004005448,0.0009613906],"study_design_scores_gemma":[0.001107075,0.001306627,0.9012117,0.00003471666,0.00003255974,0.0005326931,0.0002072764,0.0003552396,0.08634737,0.0001492997,0.008619172,0.00009620831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969829,0.0001069967,0.00001594052,0.001799274,0.0001332115,0.00005790602,6.094157e-7,0.000001398809,0.0009017304],"genre_scores_gemma":[0.9993668,0.0001446795,0.00001160436,0.0002142094,0.00007071897,0.000002099606,3.829718e-7,0.000004598019,0.0001848918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4183868,"threshold_uncertainty_score":0.1930115,"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."}}