{"id":"W3208822183","doi":"10.1002/lno.11960","title":"Different forms of carbon, nitrogen, and phosphorus influence ecosystem stoichiometry in a north temperate river across seasons and land uses","year":2021,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Ecosystem; Temperate climate; Hydrology (agriculture); Ecological stoichiometry; Redfield ratio; Nitrogen; Biogeochemical cycle; Nutrient; Phosphorus; Ecology; Chemistry; Geology; Biology","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":[0.0002371337,0.000114873,0.0002041607,0.0003917153,0.0003042415,0.0004409746,0.0001701006,0.0001831668,0.0004935622],"category_scores_gemma":[0.0004456893,0.0001625429,0.00014734,0.0003904728,0.000252448,0.0003103991,0.0002826335,0.00009240774,0.00005498578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002816576,"about_ca_system_score_gemma":0.0001789715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01352073,"about_ca_topic_score_gemma":0.03703973,"domain_scores_codex":[0.9998637,0.00004382309,0.000009818967,0.00004068215,0.00002103164,0.00002097696],"domain_scores_gemma":[0.9996917,0.00009420286,0.00008381173,0.0000164687,0.00006270155,0.00005120134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024426,0.00003941159,0.976269,0.00002289923,0.00006159758,0.0001089323,0.0006206244,0.000336324,0.01852722,0.00004013272,0.00005714082,0.003814178],"study_design_scores_gemma":[6.348152e-7,0.00001056578,0.9994851,8.77972e-7,0.000004060448,0.00001620397,0.0001234684,0.0002053325,0.0000996105,0.00001140021,0.00004171677,0.000001063663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998123,0.00001703217,0.00003078315,0.000002786647,2.384539e-7,8.650301e-7,0.00002350455,0.000001260704,0.0001112726],"genre_scores_gemma":[0.9997279,0.00001944472,0.00008969358,0.000005088674,6.851978e-7,0.000002553159,0.00004636502,0.000001224328,0.0001068938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01352073,"threshold_uncertainty_score":0.02688408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004326138056584596,"score_gpt":0.1951287499558981,"score_spread":0.1908026118993135,"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."}}