{"id":"W4234076128","doi":"10.5194/acp-2021-290","title":"Speciated atmospheric mercury at Waliguan Global Atmospheric Watch station in the northeastern Tibetan Plateau: implication of dust related sources for particulate bound mercury","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China; Key Research Program of Frontier Science, Chinese Academy of Sciences; National Science Foundation","keywords":"Mercury (programming language); Particulates; Aerosol; Environmental science; Environmental chemistry; Plateau (mathematics); Atmospheric sciences; Pollution; Climatology; Physical geography; Chemistry; Meteorology; Geography; Geology","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":[0.0002946061,0.0003160097,0.0002583609,0.0007439155,0.0007428292,0.0005853429,0.0003737471,0.0005259837,0.0005533084],"category_scores_gemma":[0.000180934,0.0001404415,0.0002409415,0.001302348,0.0002489972,0.0002765046,0.0003521236,0.0002237348,0.0001071015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990951,"about_ca_system_score_gemma":0.0007856742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059542,"about_ca_topic_score_gemma":0.1697031,"domain_scores_codex":[0.9998963,0.00001337653,0.000006029736,0.00003635703,0.00002449683,0.00002335578],"domain_scores_gemma":[0.9998621,0.00001165437,0.00002883922,0.000007862534,0.00005168929,0.00003779459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007576446,0.00004289388,0.9874664,0.00003299645,0.00006307838,0.0004860055,0.0003688164,0.0003750709,0.006832569,0.00002648751,0.0002282336,0.004001709],"study_design_scores_gemma":[0.000002980273,0.00001337539,0.9988876,0.000003341624,0.000008486,0.00002379999,0.0002070898,0.0005416074,0.0001743573,0.000008722423,0.0001264543,0.000002187994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989957,0.00005431688,0.00008700707,0.00002448737,0.000004743911,0.000005428687,0.0004050418,0.000009701521,0.0004134209],"genre_scores_gemma":[0.9987571,0.00003732709,0.0001808457,0.00001933171,0.000007924455,0.000008240138,0.0007467727,0.000002315728,0.0002400005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1059542,"threshold_uncertainty_score":0.2106749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881041235418441,"score_gpt":0.2709998284315091,"score_spread":0.2521894160773247,"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."}}