{"id":"W2790664916","doi":"10.3390/atmos9020076","title":"Recent Advances in Atmospheric Chemistry of Mercury","year":2018,"lang":"en","type":"article","venue":"Atmosphere","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Clean Air Regulatory Agenda; Auburn University at Montgomery; Natural Sciences and Engineering Research Council of Canada; Auburn University","keywords":"Mercury (programming language); Biomagnification; Environmental chemistry; Organomercury Compounds; Chemistry; Atmospheric chemistry; Bioaccumulation; Astrobiology; Environmental science; Ozone; Organic chemistry; Metal","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125806,0.0005526877,0.0005450738,0.001150321,0.0004404761,0.00112248,0.0006480396,0.001149071,0.003404193],"category_scores_gemma":[0.001009227,0.0002669732,0.0004697279,0.001802769,0.0005974142,0.00214127,0.001054547,0.001639978,0.001154738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085417,"about_ca_system_score_gemma":0.00115915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452686,"about_ca_topic_score_gemma":0.002959094,"domain_scores_codex":[0.9996159,0.00005736567,0.00003120982,0.0001053696,0.0001489923,0.00004115154],"domain_scores_gemma":[0.9990811,0.0003585081,0.0001158562,0.00004926678,0.0003290247,0.0000661401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000256201,0.0001822022,0.004408763,0.01299721,0.0001799596,0.0005070801,0.000397395,0.002371844,0.06202335,0.02146001,0.0250418,0.8701742],"study_design_scores_gemma":[0.000009295674,0.0002172979,0.005714916,0.0006467778,0.0001773076,0.0009065554,0.0002873663,0.0014454,0.02328324,0.01138179,0.9558763,0.00005384295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006368626,0.9731922,0.002495483,0.005032051,0.001304316,0.00001106122,0.00009341378,0.00005911738,0.01144387],"genre_scores_gemma":[0.03216205,0.9568022,0.003472243,0.001213583,0.003414186,0.00001012009,0.0001356825,0.00001663304,0.002773229],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003404193,"threshold_uncertainty_score":0.01138818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009425403061766367,"score_gpt":0.2553893415782555,"score_spread":0.2459639385164892,"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."}}