{"id":"W4368371548","doi":"10.22541/essoar.168319762.20980277/v1","title":"Decadal Changes in Anthropogenic Inputs and Precipitation Influence Riverine Exports of Carbon, Nitrogen, and Phosphorus, and Alter Ecosystem Level Stoichiometry","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecosystem; Precipitation; Environmental science; Ecological stoichiometry; Phosphorus; Temperate climate; Nitrogen; Drainage basin; Hydrology (agriculture); Ecology; Geography; Chemistry; Biology; Geology","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":[0.000205011,0.0001449761,0.0001331828,0.0003315213,0.0001860316,0.0004567435,0.0001082764,0.0001149347,0.0005074235],"category_scores_gemma":[0.0003507733,0.00008683867,0.0001376159,0.0005343502,0.00015593,0.0003071126,0.0002547071,0.000144387,0.00009181459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163917,"about_ca_system_score_gemma":0.0001210082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005136028,"about_ca_topic_score_gemma":0.009900255,"domain_scores_codex":[0.9999306,0.000009683781,0.000006981062,0.00002945052,0.00001575556,0.000007424203],"domain_scores_gemma":[0.9997899,0.00003152937,0.00008746691,0.00001862017,0.00005723891,0.00001533666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003737765,0.00001495858,0.9768763,0.00003406771,0.0001155571,0.00005753629,0.0002113793,0.001603451,0.01024876,0.0001886882,0.000210083,0.01040182],"study_design_scores_gemma":[7.021619e-7,0.000009111585,0.9978631,0.000002260905,0.000008844601,0.00002238467,0.00006678564,0.0008154956,0.0004640518,0.00005123798,0.0006941509,0.00000201085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976866,0.0001253381,0.0007003743,0.00002351801,0.000004326579,0.000002137916,0.000592667,0.00001620934,0.0008487879],"genre_scores_gemma":[0.9984964,0.000156708,0.0004358863,0.0000143145,0.000005538096,0.000006076234,0.0005323605,0.000006905193,0.0003457289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005136028,"threshold_uncertainty_score":0.01021224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825860954748436,"score_gpt":0.2425831162927616,"score_spread":0.2243245067452772,"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."}}