{"id":"W4390037154","doi":"10.1016/j.scitotenv.2023.169422","title":"The effects of heavy rain on the fate of urban and agricultural pollutants in the riverside area around weirs using multi-isotope, microbial data and numerical simulation","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; Korea Institute of Geoscience and Mineral Resources; Ministry of Science, ICT and Future Planning","keywords":"Groundwater; Surface water; Environmental science; Baseflow; Hydrology (agriculture); Surface runoff; Aquifer; δ18O; Environmental chemistry; Streamflow; Drainage basin; Stable isotope ratio; Environmental engineering; Geology; Ecology; Chemistry","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":[0.0002936331,0.0002161113,0.0002561715,0.00032425,0.000334482,0.0005053284,0.0003860905,0.0004692034,0.0004984057],"category_scores_gemma":[0.0006362758,0.0002459161,0.0005760083,0.0003965013,0.0003188195,0.0003493382,0.0003048884,0.0002876239,0.00008060072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008357235,"about_ca_system_score_gemma":0.0005983468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.106493,"about_ca_topic_score_gemma":0.08649614,"domain_scores_codex":[0.9998966,0.00002994279,0.000009721149,0.00002575004,0.00001374433,0.00002420834],"domain_scores_gemma":[0.9996181,0.0001988197,0.00004821828,0.00002685685,0.00006967046,0.00003830737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005493851,0.0002474849,0.6038021,0.00004533763,0.0001794406,0.0004244135,0.0002148613,0.379645,0.008386363,0.0003779437,0.0002684743,0.005859233],"study_design_scores_gemma":[0.00006957997,0.0001348164,0.3221874,0.000008174965,0.0001007805,0.00005679169,0.0005880462,0.673124,0.00326003,0.0002056354,0.0002311681,0.00003356405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996359,0.000008024447,0.0001257665,0.00001167558,0.000001238992,0.000002098077,0.00007137577,0.000006933813,0.0001370702],"genre_scores_gemma":[0.9996262,0.00001417388,0.0001511371,0.000002592086,7.40226e-7,0.000002370897,0.00009289927,0.000001625014,0.0001083008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.106493,"threshold_uncertainty_score":0.2117463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062265245136653,"score_gpt":0.2119233604455667,"score_spread":0.1913007079942002,"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."}}