{"id":"W3115481448","doi":"10.1016/j.jhydrol.2020.125911","title":"Investigating groundwater-lake interactions in the Laurentian Great Lakes with a fully-integrated surface water-groundwater model","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Ontario Centres of Excellence","keywords":"Groundwater; Hydrology (agriculture); Groundwater discharge; Surface water; Shore; Structural basin; Geology; Environmental science; Aquifer; Groundwater flow; Oceanography; Geomorphology","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":[0.0003477603,0.0006685462,0.0008141916,0.0004492244,0.000772292,0.001191556,0.001420152,0.001962439,0.001871684],"category_scores_gemma":[0.001304583,0.0007174371,0.0008790671,0.0006307292,0.0008090478,0.0009493279,0.0008007647,0.000723196,0.0001151908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723866,"about_ca_system_score_gemma":0.00299035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3596579,"about_ca_topic_score_gemma":0.2668831,"domain_scores_codex":[0.9998507,0.0000394375,0.000008595293,0.00003537289,0.00001562826,0.00005017481],"domain_scores_gemma":[0.9994954,0.0002668088,0.00005410116,0.00002701401,0.00006919308,0.00008750019],"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":[0.00008687696,0.0001019845,0.007196504,0.00002241167,0.00007268837,0.0001296611,0.00003822037,0.9893741,0.001083577,0.0006194191,0.0002936482,0.00098088],"study_design_scores_gemma":[0.00004023888,0.00002394285,0.002430613,0.000001982156,0.00001952042,0.000004796275,0.00003969654,0.9970596,0.0001711703,0.0001098387,0.0000886437,0.000009908747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962636,0.00007412913,0.001001252,0.0002452574,0.0000125804,0.00001347638,0.000324882,0.00009262386,0.001972216],"genre_scores_gemma":[0.9981383,0.00004442617,0.0007985238,0.00003350899,0.000008841035,0.00001257886,0.0001892281,0.00002061057,0.0007540575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6403421,"threshold_uncertainty_score":0.7151289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261224441412622,"score_gpt":0.2339887205826382,"score_spread":0.211376476168512,"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."}}