{"id":"W6940663777","doi":"10.1016/j.jwpe.2025.108335","title":"Impact of intensive human activities on nitrate pollution in river basins: A spatiotemporal isotopic analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities","keywords":"Pollution; Nitrate; Nutrient pollution; Manure; Tributary; Nitrogen; Watershed; Sewage; Reactive nitrogen; Isotope analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009734116,0.00007984553,0.0002088586,0.0001958315,0.000026293,0.00001891922,0.00008430256,0.00004073538,0.0001374091],"category_scores_gemma":[0.00005187168,0.0000285762,0.0001607137,0.0003953368,0.000003715999,0.0001790186,0.000009058086,0.0001500151,0.000001196713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004706493,"about_ca_system_score_gemma":0.000008111734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003748994,"about_ca_topic_score_gemma":0.00007861089,"domain_scores_codex":[0.9994689,0.00001691884,0.0002536614,0.00006339719,0.00008846435,0.0001087092],"domain_scores_gemma":[0.9996195,0.00008317915,0.00009287217,0.00001990298,0.0001598788,0.00002466055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002100078,0.0001414458,0.2955273,0.00006274889,0.0005645418,0.0000217317,0.001181678,0.07927758,0.6212968,0.00008372036,0.0001639569,0.001468461],"study_design_scores_gemma":[0.0002601466,0.0009729139,0.8078233,0.0007610761,0.0002514455,0.00002804303,0.0007775027,0.006450396,0.1815546,0.0005905535,0.0002676428,0.0002624242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994545,0.00004365656,0.00008819084,0.000140726,0.00007661746,0.00004046453,0.00005105104,0.000005458677,0.00009931076],"genre_scores_gemma":[0.9997997,0.00002655022,0.00001545998,0.0000298657,0.00005301863,0.000001259729,0.00002656176,4.765131e-7,0.00004706108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.512296,"threshold_uncertainty_score":0.1504533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00820286371650721,"score_gpt":0.2454340394448141,"score_spread":0.2372311757283069,"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."}}