{"id":"W4406536189","doi":"10.1016/j.envsoft.2025.106321","title":"Integrated models of nutrient dynamics in lake and reservoir watersheds: A systematic review and integrated modelling decision pathway","year":2025,"lang":"en","type":"review","venue":"Environmental Modelling & Software","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Wageningen University and Research; Grantová Agentura České Republiky; European Commission; H2020 Marie Skłodowska-Curie Actions; Global Lake Ecological Observatory Network","keywords":"Environmental science; Dynamics (music); Hydrology (agriculture); Geology; Geotechnical engineering; Psychology","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":[0.003702583,0.001516474,0.002493242,0.005627207,0.0003351842,0.00194186,0.002118393,0.001327275,0.003664863],"category_scores_gemma":[0.008617055,0.0007328874,0.004224707,0.007053572,0.0004465632,0.002246866,0.001070285,0.001119926,0.0007052768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508503,"about_ca_system_score_gemma":0.008259614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053493,"about_ca_topic_score_gemma":0.01796906,"domain_scores_codex":[0.9987382,0.0004109602,0.0003398931,0.0001646504,0.0002987485,0.0000475078],"domain_scores_gemma":[0.994759,0.004119835,0.0004546815,0.0001048567,0.0004913867,0.00007022644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001131437,0.00009528989,0.001319368,0.3229612,0.00293264,0.0002320542,0.0003590983,0.01051875,0.0006286597,0.01210821,0.01419205,0.6345395],"study_design_scores_gemma":[0.0001014892,0.000264809,0.002880538,0.2809498,0.0158717,0.0006053866,0.0004509638,0.005654254,0.001034501,0.01137936,0.680653,0.0001541139],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004617428,0.9961318,0.001771042,0.0004056439,0.00008568058,0.00005317588,0.0002910289,0.00002967838,0.0007701422],"genre_scores_gemma":[0.004125327,0.9924079,0.002750634,0.0001532154,0.00003495333,0.00006733429,0.0002750947,0.00001047152,0.0001749756],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01053493,"threshold_uncertainty_score":0.02094722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810771169769557,"score_gpt":0.2291411057575664,"score_spread":0.2110333940598708,"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."}}