{"id":"W2112853880","doi":"10.5194/acp-11-6273-2011","title":"Natural and anthropogenic atmospheric mercury in the European Arctic: a fractionation study","year":2011,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Norsk Polarinstitutt; Norges Forskningsråd","keywords":"Mercury (programming language); Arctic; Environmental science; Environmental chemistry; The arctic; Elemental mercury; Atmospheric sciences; Chemistry; Oceanography; 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":[0.0008474208,0.0003889746,0.0003178262,0.001033065,0.0005386901,0.0007868999,0.0002549719,0.0003562633,0.0004452806],"category_scores_gemma":[0.0003613202,0.0001655088,0.0004775174,0.001618309,0.0002097795,0.0003226634,0.0004809437,0.0001381828,0.0002027005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007311995,"about_ca_system_score_gemma":0.0005253905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05607137,"about_ca_topic_score_gemma":0.07611893,"domain_scores_codex":[0.9996498,0.00005451154,0.00003858943,0.0001298631,0.00007303862,0.00005420832],"domain_scores_gemma":[0.9996946,0.00003394548,0.00008175906,0.00002901618,0.0001150183,0.00004576768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002573082,0.00005916649,0.9878011,0.0000434818,0.0002263386,0.0002906655,0.0004759208,0.0001657681,0.002531643,0.00003921795,0.0001504122,0.007958936],"study_design_scores_gemma":[0.000002048749,0.0000219097,0.9986807,0.000004234771,0.00002459288,0.0001185572,0.0001912722,0.0001205229,0.000223644,0.000006977024,0.0006026091,0.000002913328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983462,0.0003910827,0.0001552042,0.000009760134,0.00000348554,0.00000372171,0.0005889219,0.000003577738,0.0004980575],"genre_scores_gemma":[0.9975446,0.0003290081,0.0002932077,0.00003134001,0.000008265766,0.000006315675,0.001317813,0.000005990965,0.0004633817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05607137,"threshold_uncertainty_score":0.11149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499524605931333,"score_gpt":0.240166831643827,"score_spread":0.2251715855845137,"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."}}