{"id":"W3048179654","doi":"10.1016/j.scitotenv.2020.141427","title":"Impacts of smelter atmospheric emissions on forest nutrient cycles: Evidence from soils and tree rings","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Geological Survey of Canada","funders":"Natural Resources Canada","keywords":"Environmental science; Soil water; Environmental chemistry; Nutrient; Deposition (geology); Smelting; Trace element; Dendrochronology; Soil science; Chemistry; Geology; Geochemistry; Sediment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934538,0.0001195502,0.0001468241,0.000009147615,0.0002086722,0.00002993394,0.000649839,0.00002227366,0.0002415867],"category_scores_gemma":[0.0002386211,0.00005979725,0.00005884309,0.0002113305,0.001194775,0.0001799692,0.0001673919,0.00009873079,0.00004612633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001334998,"about_ca_system_score_gemma":0.00004453405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00099976,"about_ca_topic_score_gemma":0.00001950852,"domain_scores_codex":[0.9986002,0.00006913892,0.0001996623,0.0002691133,0.0006193562,0.0002425381],"domain_scores_gemma":[0.9988836,0.0003966209,0.000159813,0.0003844781,0.000004055181,0.000171416],"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":[0.0008545889,0.0001387248,0.322226,0.00006514427,0.0000484418,0.000006707263,0.008263279,0.4456563,0.2005415,0.0000892208,0.0001299361,0.02198016],"study_design_scores_gemma":[0.0001183219,0.0002487266,0.9574649,0.0001192027,0.00001900088,0.000002752373,0.0002505419,0.01662904,0.02475297,0.0003066788,0.00001118724,0.00007667636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99659,0.0004522518,0.000009419551,0.002440008,0.00005870447,0.0001759143,0.00003284567,0.000008283564,0.0002325909],"genre_scores_gemma":[0.9992537,0.0002816534,0.0003544807,0.00005178531,0.00002055563,8.296591e-7,5.825609e-7,0.000002761883,0.00003359206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6352389,"threshold_uncertainty_score":0.4402199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941997514220235,"score_gpt":0.2179730066532323,"score_spread":0.1985530315110299,"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."}}