{"id":"W2025105982","doi":"10.1016/j.envpol.2014.06.023","title":"Quantifying the effects of soil temperature, moisture and sterilization on elemental mercury formation in boreal soils","year":2014,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University; University of Saskatchewan","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Soil water; Mercury (programming language); Environmental chemistry; Moisture; Chemistry; Water content; Limiting; Sterilization (economics); Abiotic component; Environmental science; Soil science; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002097502,0.0001313394,0.0001193404,0.00003816977,0.0001611289,0.00001451591,0.0000633585,0.00005612168,0.00004063711],"category_scores_gemma":[0.00003321598,0.0000967235,0.00002948462,0.00008938764,0.0001837099,0.0002936709,0.00007330873,0.00009721116,0.00002603539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435968,"about_ca_system_score_gemma":0.000001248293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001789731,"about_ca_topic_score_gemma":0.0001891392,"domain_scores_codex":[0.9990704,0.0001261558,0.0002158193,0.0001671637,0.0002602453,0.0001602186],"domain_scores_gemma":[0.9996678,0.00005566429,0.0001119759,0.0001263108,7.938756e-7,0.00003750965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001065295,0.0002260561,0.1649819,0.00009053855,0.00001978662,0.000001481547,0.004075447,0.00127805,0.7915705,0.0006265594,0.001030946,0.03599215],"study_design_scores_gemma":[0.0005517039,0.0001736074,0.9192591,0.0000396886,0.00001332704,0.000004614269,0.0005248053,0.0008879749,0.07805867,0.0001152195,0.0002615642,0.000109727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983793,0.0001050043,0.0001176429,0.0002191931,0.0001012573,0.0003040518,0.00001061293,0.00001073904,0.0007522326],"genre_scores_gemma":[0.9993082,0.000185045,0.00003096978,0.0003328546,0.00002824029,0.00001972286,0.00004192716,0.000008434245,0.00004456703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7542772,"threshold_uncertainty_score":0.394427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009211552268400773,"score_gpt":0.2300222893907672,"score_spread":0.2208107371223664,"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."}}