{"id":"W2067387097","doi":"10.1016/j.jenvman.2014.07.007","title":"Modeling catchment nutrients and sediment loads to inform regional management of water quality in coastal-marine ecosystems: A comparison of two approaches","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Centre for Biological Sciences; National Oceanic and Atmospheric Administration; Secretaría de Medio Ambiente y Recursos Naturales; James Cook University","keywords":"Environmental science; Hydrology (agriculture); Sediment; Water quality; Surface runoff; Ecosystem; Erosion; Environmental resource management; Water resource management; Ecology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002275853,0.0008806591,0.001195685,0.001052455,0.0004794162,0.002221189,0.002015355,0.001550487,0.0008962298],"category_scores_gemma":[0.005298159,0.0005799792,0.001097967,0.001078419,0.0004760108,0.001641823,0.001184232,0.0007422733,0.0001138098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891424,"about_ca_system_score_gemma":0.002344295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08661121,"about_ca_topic_score_gemma":0.06852917,"domain_scores_codex":[0.9994215,0.0002755472,0.00003943689,0.0001546164,0.00005709213,0.00005181865],"domain_scores_gemma":[0.9981775,0.001303926,0.0001479406,0.0001020805,0.0001790576,0.00008943867],"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":[0.0001494634,0.0001985956,0.01386751,0.00004494297,0.0002970816,0.00002402386,0.00009014377,0.9685979,0.0007441821,0.001269077,0.0001020147,0.01461502],"study_design_scores_gemma":[0.00002768729,0.00002897256,0.001526396,0.000003717046,0.00003727484,0.000003684137,0.00003261968,0.9975695,0.000157145,0.0005358525,0.00006968793,0.00000738126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8480685,0.0007553324,0.1461342,0.0007556466,0.00005223721,0.0001362994,0.0003990371,0.0004095607,0.003289204],"genre_scores_gemma":[0.9611568,0.0002976467,0.0373803,0.0000808885,0.00002923043,0.00007146294,0.0001806948,0.00005745758,0.0007454496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08661121,"threshold_uncertainty_score":0.1722142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583507327456723,"score_gpt":0.252816080969323,"score_spread":0.2269810076947558,"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."}}