{"id":"W7097829444","doi":"","title":"Factors Influencing Mercury in Freshwater Surface Sediments of Northeastern North America","year":2004,"lang":"en","type":"article","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methylmercury; Sediment; Mercury (programming language); Wetland; Hydrology (agriculture); Watershed; Organic matter; Aquatic ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002584331,0.0002175173,0.00023734,0.001081798,0.0008035279,0.0006536262,0.000174468,0.000130953,0.0005121813],"category_scores_gemma":[0.0006186217,0.0001770704,0.0001083616,0.001868212,0.0004411827,0.000252931,0.0004065227,0.0001222657,0.00007996903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009470364,"about_ca_system_score_gemma":0.0008025332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2604204,"about_ca_topic_score_gemma":0.5048749,"domain_scores_codex":[0.9997764,0.00003556194,0.00001669836,0.00005538,0.00007475313,0.00004124439],"domain_scores_gemma":[0.9993943,0.00006042343,0.0002486321,0.00001642331,0.0002123384,0.00006787761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001401018,0.00000726549,0.9940609,0.00001663792,0.00002467007,0.00005886925,0.0003840522,0.00006528709,0.002341533,0.00001209524,0.00006883057,0.002945819],"study_design_scores_gemma":[2.241268e-7,0.000003551433,0.9996008,0.000001748172,0.000002521607,0.00001237401,0.0001621391,0.00002670901,0.00005251289,0.000004988312,0.0001317213,6.873948e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999247,0.0001260175,0.00006343082,0.00001777612,0.00000109292,0.000003010603,0.0002317337,0.000003781544,0.0003062995],"genre_scores_gemma":[0.9986097,0.0002190016,0.00025039,0.00002584288,0.000003421658,0.000009033836,0.0005239737,0.00000249238,0.0003560747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7395796,"threshold_uncertainty_score":0.5178093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086711882376536,"score_gpt":0.2475811639553231,"score_spread":0.2267140451315577,"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."}}