{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003966133,0.0001291842,0.0001638335,0.0000770452,0.0001980104,0.00004697674,0.000251426,0.0000380365,0.0002514167],"category_scores_gemma":[0.00008066576,0.0001067468,0.0000614606,0.0005324589,0.0005773812,0.0002158909,0.0002368313,0.000348716,0.002193488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083529,"about_ca_system_score_gemma":0.00001306488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074981,"about_ca_topic_score_gemma":0.005298861,"domain_scores_codex":[0.9977375,0.0001645881,0.0001796008,0.0003243571,0.0008791472,0.0007148231],"domain_scores_gemma":[0.9993863,0.0002253492,0.00002577618,0.0002414958,0.00001283632,0.0001082905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005341533,0.0002598651,0.7478655,0.000009951438,0.00001591691,0.00008150861,0.0008009111,0.0006867875,0.1789944,0.0003266922,0.05779625,0.01310878],"study_design_scores_gemma":[0.0002844747,0.00004622891,0.9906968,0.00001277265,0.000002492408,9.464206e-7,0.0001131483,0.00009702655,0.001669527,0.003131802,0.003791387,0.0001533665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818068,0.00003039776,0.00001822978,0.007224292,0.0000354212,0.0002183985,0.000003845731,0.00002883972,0.01063383],"genre_scores_gemma":[0.9985479,0.000008530395,0.00005177081,0.0005453939,0.0001561831,0.00005706864,0.000007774393,0.00001373656,0.0006116196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428313,"threshold_uncertainty_score":0.9985834,"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."}}