{"id":"W2892255312","doi":"10.1029/2018jd028770","title":"Decadal Trends in Wet Sulfur Deposition in China Estimated From OMI SO<sub>2</sub> Columns","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Deposition (geology); Environmental science; China; Precipitation; Atmospheric sciences; Ozone Monitoring Instrument; Physical geography; Inner mongolia; Climatology; Spatial distribution; Geography; Meteorology; Geology; Troposphere; Remote sensing","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":[0.000342309,0.0004024482,0.0001941591,0.0007402008,0.0001747602,0.000391953,0.0001718984,0.0002102731,0.0004569131],"category_scores_gemma":[0.0002785343,0.0001864025,0.0004080664,0.0007687353,0.0001291287,0.0002641661,0.0002916741,0.0001121794,0.00008851731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005467964,"about_ca_system_score_gemma":0.0004377383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04510383,"about_ca_topic_score_gemma":0.04513251,"domain_scores_codex":[0.9999247,0.000006688849,0.00001029395,0.00002341907,0.00002138089,0.00001365551],"domain_scores_gemma":[0.9998031,0.00001632946,0.00006761999,0.00001862008,0.00006349022,0.00003083193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006953593,0.00001825133,0.9805101,0.00004826374,0.0001895168,0.0001173757,0.0001277914,0.006600355,0.004729282,0.0001277468,0.0006183055,0.006843496],"study_design_scores_gemma":[0.000002160378,0.00001029487,0.9923972,0.000003665846,0.00002721168,0.00001531583,0.00004447706,0.006121244,0.0006671282,0.00002370775,0.0006818164,0.000005764161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980165,0.00009804552,0.0002187523,0.00003038653,0.000006895841,0.000002964128,0.001262927,0.00002158464,0.0003419153],"genre_scores_gemma":[0.997436,0.00007989689,0.0001542914,0.00001138445,0.000005856672,0.000004774204,0.0019824,0.000003900221,0.000321519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04510383,"threshold_uncertainty_score":0.08968258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462462019722918,"score_gpt":0.2970630503322109,"score_spread":0.2724384301349817,"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."}}