{"id":"W2148017646","doi":"10.1111/j.1745-6584.2005.tb02287.x","title":"Mass and Flux Distributions from DNAPL Zones in Sandy Aquifers","year":2005,"lang":"en","type":"article","venue":"Ground Water","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plume; Aquifer; Groundwater; Hydrology (agriculture); Flux (metallurgy); Water table; Panache; Environmental science; Soil science; Deposition (geology); Geology; Mass flux; Geomorphology; Sediment; Geotechnical engineering; Chemistry; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007632916,0.0001728204,0.0001685643,0.0006071867,0.0004243679,0.0004554826,0.0001933897,0.00016398,0.0006837011],"category_scores_gemma":[0.0001653984,0.0001450776,0.00010921,0.0004745836,0.0003283701,0.0001963252,0.0003201102,0.00009651724,0.00009149181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909366,"about_ca_system_score_gemma":0.0004213385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.154862,"about_ca_topic_score_gemma":0.2154538,"domain_scores_codex":[0.9999106,0.00000421577,0.000003588436,0.00003114676,0.00002586884,0.0000246424],"domain_scores_gemma":[0.9999108,0.00001617145,0.000025355,0.000002605284,0.00002706548,0.00001792565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000424657,0.00004527189,0.714945,0.00006370589,0.0000306564,0.0004279232,0.00181998,0.001386371,0.2677556,0.0001927511,0.0001489005,0.01275928],"study_design_scores_gemma":[0.00001350668,0.00008856179,0.9787,0.000005463733,0.00001381378,0.00008193705,0.0008723655,0.002540144,0.01685301,0.00005688651,0.0007640283,0.00001032851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994729,0.00001284506,0.0001047646,0.000004485777,1.811001e-7,0.00000248813,0.0001229933,0.000005976425,0.000273241],"genre_scores_gemma":[0.9988247,0.00003711385,0.0002205538,0.000008331133,7.123987e-7,0.000006583628,0.0003202649,0.000002982422,0.0005788073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.154862,"threshold_uncertainty_score":0.3079212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008585971755617981,"score_gpt":0.2036592720487341,"score_spread":0.1950733002931161,"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."}}