{"id":"W2069022215","doi":"10.1016/j.envpol.2010.11.001","title":"Nitrogen critical loads using biodiversity-related critical limits","year":2010,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Environment Canada; Environmental Protection Agency","keywords":"Critical load; Environmental science; Ecosystem; Biodiversity; Context (archaeology); Abiotic component; Nutrient; Nitrogen; Terrestrial ecosystem; Ecology; Biochemical engineering; Chemistry; Biology; Engineering","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":[0.00399319,0.001049108,0.0006826665,0.003355519,0.0006666477,0.001999429,0.001773168,0.001212409,0.003391901],"category_scores_gemma":[0.01211596,0.0004203442,0.001054093,0.00124219,0.002475157,0.005512891,0.002378861,0.001802107,0.0003532946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002215351,"about_ca_system_score_gemma":0.0008477172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002648999,"about_ca_topic_score_gemma":0.002949055,"domain_scores_codex":[0.9987763,0.0004727268,0.00009835343,0.000193656,0.0002969017,0.0001620461],"domain_scores_gemma":[0.9924794,0.005349436,0.0007552753,0.0004006086,0.0007956855,0.0002194968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008846655,0.00008997306,0.003424153,0.0002654246,0.0001233636,0.0001960965,0.0001969444,0.5614328,0.003714631,0.4028994,0.001894358,0.0256744],"study_design_scores_gemma":[0.00001441018,0.00004169051,0.001128411,0.00009245572,0.00004660765,0.0001287735,0.00009259081,0.6706602,0.002127643,0.3220501,0.003571286,0.00004581676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09608845,0.001900705,0.8551898,0.0007274462,0.0002316984,0.0001428016,0.0002682509,0.0004021059,0.04504875],"genre_scores_gemma":[0.9391214,0.0008659345,0.05351105,0.0003126677,0.0002406065,0.00031377,0.0001766544,0.0001688061,0.005289171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00399319,"threshold_uncertainty_score":0.02111822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342253053335649,"score_gpt":0.2189723290295857,"score_spread":0.2055497984962292,"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."}}