{"id":"W2085873461","doi":"10.1016/j.apgeochem.2013.07.020","title":"Evidence for microbially mediated production of elemental mercury (Hg0) in subarctic lake sediments","year":2013,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; Ministry of the Environment, Conservation and Parks; University of Ottawa","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Subarctic climate; Mercury (programming language); Environmental chemistry; Bay; Nutrient; Arctic; Sediment; Sedimentary rock; Environmental science; Chemistry; Geology; Oceanography; Geochemistry; Geomorphology","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":[0.0003071214,0.0003241749,0.0001308501,0.0005597203,0.0003857483,0.0005872773,0.0002157578,0.0002828751,0.0008218549],"category_scores_gemma":[0.0003597043,0.0002053312,0.0001560567,0.0005276129,0.000680845,0.0002532727,0.0003843904,0.0002068478,0.0002088562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006805099,"about_ca_system_score_gemma":0.0006978462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01521643,"about_ca_topic_score_gemma":0.01681438,"domain_scores_codex":[0.9998578,0.00002334595,0.00001211464,0.00003936616,0.00003992534,0.00002737907],"domain_scores_gemma":[0.999627,0.00007361344,0.00009786594,0.00002970629,0.0001153673,0.00005649104],"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":[0.0006573346,0.00008227573,0.4186745,0.0002231584,0.00008175115,0.0003795296,0.0005512142,0.000278098,0.5699901,0.0002679043,0.00008880446,0.008725365],"study_design_scores_gemma":[0.00001627837,0.000198114,0.9332178,0.00001435645,0.000059887,0.0002034909,0.0004727261,0.0002073789,0.06470274,0.0000935538,0.0008080575,0.000005610252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985979,0.0003260518,0.0001513022,0.00003365554,0.000003023175,0.000002960096,0.0001548199,0.00001028842,0.0007199183],"genre_scores_gemma":[0.9983437,0.0004959026,0.0004279379,0.00002809798,0.000005923804,0.000004397707,0.0001629646,0.000002443542,0.000528638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01521643,"threshold_uncertainty_score":0.03025573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262656867142879,"score_gpt":0.2605438626669599,"score_spread":0.2379172939955311,"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."}}