{"id":"W2166574479","doi":"10.1029/2005gl025595","title":"Wildfires threaten mercury stocks in northern soils","year":2006,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Mercury (programming language); Environmental science; Boreal; Peat; Wetland; Methylmercury; Climate change; Soil water; Taiga; Environmental chemistry; Ecology; Geology; Soil science; Geography; Oceanography; Bioaccumulation; Forestry; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001577955,0.0002045278,0.0001517797,0.0004681908,0.0008293695,0.0006567655,0.000165871,0.0001249042,0.0006885504],"category_scores_gemma":[0.0003834926,0.000113414,0.0001387296,0.0005671324,0.0003255894,0.0002765365,0.0003430604,0.0001099383,0.00009669145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178661,"about_ca_system_score_gemma":0.0009157407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3157095,"about_ca_topic_score_gemma":0.5483106,"domain_scores_codex":[0.9998851,0.000008942397,0.000004004126,0.00002215148,0.00003847994,0.00004120731],"domain_scores_gemma":[0.9998009,0.00002024457,0.00007491389,0.00001361136,0.00005456317,0.00003572298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001872895,0.00004297118,0.9552614,0.00002282317,0.00006753227,0.0001528336,0.0007323449,0.001934355,0.01997401,0.000289583,0.0002468495,0.02108797],"study_design_scores_gemma":[0.000003095623,0.00001966391,0.9963928,0.000004102415,0.00001443423,0.00006323668,0.0004408125,0.0008420182,0.001427939,0.0001777745,0.0006104509,0.000003815765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989888,0.00003094165,0.00005194441,0.00001102477,3.447743e-7,9.543394e-7,0.00004966422,0.00000718236,0.0008591025],"genre_scores_gemma":[0.999619,0.00004108296,0.00009779874,0.000006308652,9.032603e-7,0.000001074866,0.00006664704,0.000001635911,0.0001654728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3157095,"threshold_uncertainty_score":0.6277437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090594578942858,"score_gpt":0.3117179595185297,"score_spread":0.2808120137291011,"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."}}