{"id":"W1956050127","doi":"10.1139/f2012-080","title":"Human shoreline development and the nutrient stoichiometry of aquatic plant communities in Canadian Shield lakes","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Alexander von Humboldt-Stiftung","keywords":"Littoral zone; Aquatic plant; Plant community; Biogeochemical cycle; Ecology; Aquatic ecosystem; Nutrient; Biomass (ecology); Environmental science; Interspecific competition; Biology; Species richness; Macrophyte","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0001315345,0.0001302463,0.0001540691,0.0008611718,0.00111247,0.0004532628,0.0002001419,0.0001317473,0.0008126299],"category_scores_gemma":[0.0005682267,0.0002014487,0.0001241152,0.001156682,0.0005514848,0.0001639009,0.0004278765,0.0001065692,0.00005995507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004034934,"about_ca_system_score_gemma":0.002574268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8973623,"about_ca_topic_score_gemma":0.9724243,"domain_scores_codex":[0.999872,0.00001340394,0.000005819996,0.00002571858,0.00004217781,0.00004089675],"domain_scores_gemma":[0.9997157,0.00002009643,0.00007910287,0.00001171441,0.0000943318,0.00007892172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007095813,0.000007057457,0.9923065,0.00001508026,0.00003156999,0.00006518959,0.001150796,0.0001084336,0.002154095,0.00005752177,0.0001157987,0.003916977],"study_design_scores_gemma":[4.846777e-7,0.000002354453,0.9996051,0.000001356341,0.000002816445,0.00001597962,0.0001937103,0.00005229417,0.00004120269,0.000008001969,0.00007557289,0.000001107975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999503,0.00006276252,0.00002412724,0.0000134102,2.833675e-7,0.000001421787,0.000109488,0.000001073048,0.0002845888],"genre_scores_gemma":[0.9995936,0.00006177522,0.00006834509,0.000004803973,4.391896e-7,0.000001481055,0.00009943412,8.255926e-7,0.0001693391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1026377,"threshold_uncertainty_score":0.2064843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001378122076202,"score_gpt":0.2140214258117897,"score_spread":0.1940076445910277,"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."}}