{"id":"W7030206040","doi":"","title":"Modelling Legacy Nitrogen Dynamics in the Transboundary Lake Erie Watershed","year":2023,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Water Futures","keywords":"Water quality; Watershed; Algal bloom; Nutrient pollution; Ecosystem; Aquatic ecosystem; Hydrology (agriculture); Structural basin; Agriculture; Nutrient","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003894858,0.0004802645,0.0003385677,0.0004861817,0.0005490395,0.001447071,0.0008514151,0.00157201,0.001022866],"category_scores_gemma":[0.0009863174,0.0003872114,0.0007060055,0.0007226948,0.0007049469,0.0009772019,0.0009891655,0.0006158315,0.0001022233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002959487,"about_ca_system_score_gemma":0.001635941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2502792,"about_ca_topic_score_gemma":0.2133128,"domain_scores_codex":[0.99988,0.00002170313,0.000008270149,0.00004212617,0.00001670422,0.00003127373],"domain_scores_gemma":[0.9997553,0.00009275156,0.0000382909,0.00001933115,0.00006005121,0.00003428318],"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":[0.00005232283,0.00009100824,0.03359366,0.00001873158,0.00004802805,0.0001669294,0.00008618492,0.9617138,0.001540345,0.0006539639,0.000236016,0.001799124],"study_design_scores_gemma":[0.00002037594,0.0000243451,0.007567074,0.000006011508,0.00001476746,0.00001465378,0.0001238768,0.991163,0.0002902906,0.0002475518,0.0005170308,0.00001104549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961809,0.00005869333,0.001372582,0.0001477708,0.000006430731,0.00001375156,0.0004058489,0.00004766795,0.001766315],"genre_scores_gemma":[0.9960046,0.0001048278,0.002012524,0.00004416313,0.000003849595,0.00002833684,0.0005471229,0.00001790857,0.001236752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7497208,"threshold_uncertainty_score":0.4976449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192475401132796,"score_gpt":0.1779345415523133,"score_spread":0.1660097875409853,"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."}}