{"id":"W1993469665","doi":"10.1007/s10661-008-0600-3","title":"Distribution and sources of mercury in soils from former industrialized urban areas of Beijing, China","year":2008,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Soil water; Mercury (programming language); Beijing; Environmental chemistry; Total organic carbon; Environmental science; Coal combustion products; Coal; Ecotoxicology; Environmental engineering; Chemistry; Soil science; China; Geography","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":[0.0002273109,0.0003654618,0.0002616429,0.002842639,0.0004825522,0.0004773781,0.0004337291,0.0002292808,0.0004876639],"category_scores_gemma":[0.0002313487,0.000204049,0.0002227188,0.002988129,0.0003812892,0.0003572346,0.0004578265,0.0001065566,0.00008700129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270128,"about_ca_system_score_gemma":0.0009207255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08465009,"about_ca_topic_score_gemma":0.1074945,"domain_scores_codex":[0.9997401,0.00002468468,0.00003614018,0.00005473266,0.00009718612,0.0000472345],"domain_scores_gemma":[0.9997491,0.00002455553,0.00009380681,0.00001131643,0.00007220699,0.0000489295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001754246,0.0000342792,0.9813083,0.00007240523,0.00008489371,0.0003495428,0.0008165726,0.0003590909,0.008461054,0.00006844731,0.0001245027,0.008145538],"study_design_scores_gemma":[0.000002869929,0.00001592233,0.9988959,0.000001328692,0.00001366761,0.00007953857,0.0002733477,0.0001341417,0.0004177877,0.00001240443,0.0001507014,0.000002322885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992579,0.000118553,0.00004140799,0.00001227897,8.705918e-7,0.000003829227,0.0003229681,0.00000380515,0.0002385057],"genre_scores_gemma":[0.9991348,0.00010948,0.00005823201,0.000005800262,0.000002437831,0.000003693523,0.0003547118,8.416823e-7,0.0003300383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08465009,"threshold_uncertainty_score":0.1683148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971945761723353,"score_gpt":0.264818597590227,"score_spread":0.2450991399729935,"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."}}