{"id":"W2026967510","doi":"10.1016/j.envres.2008.12.001","title":"Atmospheric mercury in Changbai Mountain area, northeastern China I. The seasonal distribution pattern of total gaseous mercury and its potential sources","year":2009,"lang":"en","type":"article","venue":"Environmental Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Chinese Academy of Sciences; Ontario Innovation Trust","keywords":"Environmental science; Mercury (programming language); Seasonality; Morning; Atmospheric sciences; Daytime; Wind speed; Diurnal temperature variation; Diel vertical migration; Climatology; Meteorology; Geography; Ecology; Oceanography; Geology","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":[0.0002121494,0.0002310982,0.0001840803,0.001056439,0.0006013901,0.0002924058,0.0002993736,0.000297252,0.0005689903],"category_scores_gemma":[0.000178196,0.0001909225,0.0002217749,0.001775188,0.0003465457,0.0002194262,0.0002797708,0.0001436741,0.00005998932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124603,"about_ca_system_score_gemma":0.00113418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3042286,"about_ca_topic_score_gemma":0.4318263,"domain_scores_codex":[0.9998977,0.00001176061,0.00001084556,0.00003079841,0.00001819169,0.00003067231],"domain_scores_gemma":[0.9997421,0.00003101046,0.00007572805,0.00001355592,0.00007581462,0.00006187195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008848516,0.00002101412,0.9909502,0.00004597551,0.00006963764,0.0002409939,0.0007882634,0.000227238,0.004374274,0.00007082256,0.0002516876,0.002871397],"study_design_scores_gemma":[0.000001797593,0.00001270878,0.9990821,0.000002410665,0.00001036613,0.00003642056,0.0004277896,0.000129927,0.00008765348,0.000008200948,0.0001982252,0.000002474034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994029,0.00009262739,0.00002399607,0.00003399602,0.000002763292,0.000002979454,0.0002610055,0.000002443495,0.0001773418],"genre_scores_gemma":[0.999044,0.00009078077,0.00005688657,0.00002029654,0.000005379524,0.000005406825,0.0004616854,9.156774e-7,0.0003147019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3042286,"threshold_uncertainty_score":0.6049156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667397238257406,"score_gpt":0.2718353705514662,"score_spread":0.2551613981688922,"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."}}