{"id":"W2042826689","doi":"10.1002/hyp.1376","title":"Numerical modelling of groundwater flow and contaminant transport to Point Pelee marsh, Ontario, Canada","year":2004,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Groundwater; Aquifer; Hydrology (agriculture); Groundwater flow; Environmental science; Wetland; Groundwater model; Marsh; Surface water; MODFLOW; Infiltration (HVAC); Subsurface flow; Geology; Environmental engineering; Ecology; Geotechnical engineering; Meteorology; Geography","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":[0.0001364493,0.0003900541,0.0002846631,0.0004042022,0.001408441,0.000888204,0.0009395817,0.0007220381,0.002528489],"category_scores_gemma":[0.0007056557,0.000301401,0.0003341757,0.0007140376,0.0009210574,0.0003095929,0.0004803842,0.0003120667,0.0002011487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01414774,"about_ca_system_score_gemma":0.01058574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9580246,"about_ca_topic_score_gemma":0.9326886,"domain_scores_codex":[0.999891,0.00001169323,0.000005030307,0.00002342651,0.00003583628,0.00003289212],"domain_scores_gemma":[0.999803,0.00004879346,0.00002163871,0.00000903259,0.00008908142,0.00002841907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006503011,0.00002952399,0.01030757,0.00003162916,0.00001048913,0.0001405832,0.0001320058,0.9792892,0.002402117,0.002023772,0.0008004486,0.004767622],"study_design_scores_gemma":[0.00003529685,0.00002371467,0.003908942,0.000006035903,0.000007117758,0.00001265898,0.0001167743,0.993159,0.0006551243,0.0003511912,0.001712746,0.00001131352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588572,0.0002158305,0.01656903,0.0003279944,0.00002267248,0.0001486303,0.001948599,0.0002781226,0.02163207],"genre_scores_gemma":[0.9870616,0.0001742337,0.004617713,0.00001665997,0.000002701636,0.00005987024,0.0006072297,0.00001407322,0.007445879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04197538,"threshold_uncertainty_score":0.1026495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502557977213507,"score_gpt":0.188482219678946,"score_spread":0.1734566399068109,"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."}}