{"id":"W2945377892","doi":"10.1007/s11356-019-05334-4","title":"Incorporating a non-reactive heavy metal simulation module into SWAT model and its application in the Athabasca oil sands region","year":2019,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"Alberta Innovates","keywords":"Environmental science; Watershed; Oil sands; Sediment; Hydrology (agriculture); SWAT model; Snowmelt; Deposition (geology); Environmental engineering; Surface runoff; Geology; Ecology; Geotechnical engineering","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":[0.0002541697,0.0007285408,0.0006239034,0.0003436707,0.0007717023,0.0007159676,0.001334344,0.001135859,0.002249986],"category_scores_gemma":[0.000586074,0.000457068,0.0006776658,0.0005668973,0.000381285,0.0006341282,0.0005293927,0.0005488359,0.0002485702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009736699,"about_ca_system_score_gemma":0.001568829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2107062,"about_ca_topic_score_gemma":0.1281901,"domain_scores_codex":[0.9998974,0.00002545994,0.000007173073,0.00002350413,0.00002369232,0.00002282635],"domain_scores_gemma":[0.9996974,0.0000904093,0.00002896522,0.00002706145,0.0001111782,0.00004497068],"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":[0.00007246045,0.00009930434,0.004869713,0.00002134651,0.00002032821,0.00008586144,0.00002734638,0.9885893,0.002195911,0.000264541,0.0002546124,0.003499297],"study_design_scores_gemma":[0.00001758246,0.00001652232,0.000714654,0.000001407467,0.000007076245,0.000004030616,0.00001432362,0.9985338,0.0004872011,0.00004034652,0.0001570327,0.000005936765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696408,0.00008387172,0.01947713,0.0002517554,0.00007533801,0.00006966457,0.0006430757,0.001122158,0.008636159],"genre_scores_gemma":[0.9875073,0.00005622971,0.009522438,0.000033511,0.000009895334,0.0000335266,0.0002870409,0.00008788407,0.002462086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7892938,"threshold_uncertainty_score":0.4189596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917245544101833,"score_gpt":0.2999960515188201,"score_spread":0.2708235960778018,"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."}}