{"id":"W4393167080","doi":"10.1016/j.scitotenv.2024.171967","title":"Critical loads for alkalization in terrestrial ecosystems","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leaching (pedology); Critical load; Ecosystem; Environmental science; Deposition (geology); Terrestrial ecosystem; Particulates; Nitrogen; Environmental chemistry; Soil acidification; Soil water; Chemistry; Environmental engineering; Soil science; Soil pH; Ecology; Geology; Structural basin; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004166994,0.0004446539,0.0002932053,0.0007246017,0.0004684185,0.001210213,0.0009027747,0.0007282555,0.001324226],"category_scores_gemma":[0.0009797604,0.0002870943,0.0004418548,0.0004064617,0.0006901606,0.00102095,0.001059119,0.0003559244,0.0001253205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003621947,"about_ca_system_score_gemma":0.00200595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05284247,"about_ca_topic_score_gemma":0.05127653,"domain_scores_codex":[0.9997807,0.00003271204,0.00001187911,0.00004350889,0.00008147653,0.00004969022],"domain_scores_gemma":[0.9997427,0.00007174183,0.00006847933,0.00001425177,0.00006881904,0.00003407777],"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":[0.0000911164,0.00004730222,0.03270067,0.0001360484,0.00004365059,0.000250838,0.0002022668,0.9147748,0.01179129,0.01992897,0.0007987284,0.01923433],"study_design_scores_gemma":[0.00001896187,0.00007386639,0.0217799,0.00003610416,0.0000260461,0.0001172687,0.0003647886,0.9303572,0.003009814,0.04100757,0.003171721,0.00003675394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.819362,0.0008089697,0.1522998,0.001042097,0.00003278424,0.0001632633,0.0006274132,0.000409613,0.02525399],"genre_scores_gemma":[0.9945868,0.0001638042,0.00396905,0.00003501371,0.000005915921,0.0000327561,0.00008771439,0.00001150769,0.001107392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05284247,"threshold_uncertainty_score":0.1050698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208906102921309,"score_gpt":0.2215491448605762,"score_spread":0.2094600838313631,"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."}}