{"id":"W2284641613","doi":"10.1007/978-94-017-9508-1_15","title":"Assessment of Critical Loads of Sulphur and Nitrogen and Their Exceedances for Terrestrial Ecosystems in the Northern Hemisphere","year":2015,"lang":"en","type":"book-chapter","venue":"Environmental pollution","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Northern Hemisphere; Environmental science; Boreal; Temperate climate; Ecosystem; Critical load; Terrestrial ecosystem; Taiga; Vegetation (pathology); Nitrogen; Southern Hemisphere; Temperate rainforest; Atmospheric sciences; Physical geography; Ecology; Geography; Geology; Biology; Chemistry; Engineering","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":[0.0003395642,0.0003221065,0.0001871323,0.00064162,0.0002131231,0.0007479357,0.0003546189,0.0002842246,0.001480634],"category_scores_gemma":[0.0003138085,0.0001077121,0.0002630148,0.0008236601,0.0002520701,0.0005450012,0.0003137585,0.0001790087,0.0001367238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138714,"about_ca_system_score_gemma":0.00113394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05016566,"about_ca_topic_score_gemma":0.1085784,"domain_scores_codex":[0.9999065,0.00001062472,0.000004482256,0.00001561781,0.00004779929,0.00001487436],"domain_scores_gemma":[0.9999057,0.00002928236,0.00002026342,0.000003994426,0.00002824233,0.00001251736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000476195,0.00008395783,0.2283473,0.0008082713,0.0002523944,0.001503091,0.001365789,0.1208306,0.03565079,0.02906598,0.01964176,0.561974],"study_design_scores_gemma":[0.00001520655,0.0002676172,0.7862194,0.0001992027,0.0001033847,0.000673471,0.003018237,0.06204339,0.01089263,0.06476279,0.07172946,0.0000751972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.834331,0.01788004,0.0211114,0.001135028,0.00009597879,0.00006272319,0.003595658,0.0002811874,0.121507],"genre_scores_gemma":[0.9783126,0.004938637,0.004345717,0.00005555511,0.00004065918,0.00001569728,0.0009987522,0.00003044047,0.01126182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05016566,"threshold_uncertainty_score":0.0997473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604383918391333,"score_gpt":0.2363929930887306,"score_spread":0.2203491539048173,"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."}}