{"id":"W339188483","doi":"","title":"Sedimentary Records of Mercury and Organic Matter in Canadian Lakes; Relationship between Climate Change and Contaminants","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sedimentary depositional environment; Sedimentary rock; Arctic; Sedimentary organic matter; Climate change; Mercury (programming language); Organic matter; Biogenic silica; Geology; Geologic record; Sediment; Kerogen; Environmental science; Oceanography; Physical geography; Geochemistry; Ecology; Source rock; Paleontology; Geography; Structural basin","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002209754,0.00006602855,0.0001042607,0.00004950058,0.0000714353,0.000007033204,0.00003808252,0.00004588666,0.001420116],"category_scores_gemma":[0.00002618686,0.00006147042,0.000007262885,0.00009322744,0.0001163878,0.0001612262,0.00005030206,0.0001005689,0.0001432727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002842913,"about_ca_system_score_gemma":0.000006723039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04879931,"about_ca_topic_score_gemma":0.4319435,"domain_scores_codex":[0.9994828,0.00002185532,0.0001250887,0.0001159397,0.00006730293,0.0001869955],"domain_scores_gemma":[0.9996875,0.0000649377,0.00003748533,0.00008079203,0.000002683838,0.0001266263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001200379,0.000003211789,0.9962083,0.000006794218,0.000002014282,0.000001187662,0.001016057,1.031687e-8,0.0008203123,0.00001781505,0.001060856,0.0008622989],"study_design_scores_gemma":[0.000160649,0.00001590529,0.9961672,0.00001156098,0.000008696043,0.000003059874,0.0001242868,0.00000131735,0.0002231402,0.00009983549,0.003116025,0.00006833606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942077,0.00003648778,2.628322e-7,0.001120537,0.00008077321,0.0001278735,0.00004217311,0.000003989109,0.004380138],"genre_scores_gemma":[0.9992653,0.00003053285,0.00006512812,0.0003646403,0.00002722418,0.000007374165,0.00001043211,0.00000599959,0.0002233932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3831442,"threshold_uncertainty_score":0.9994927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940826476598665,"score_gpt":0.2592625468196705,"score_spread":0.2298542820536838,"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."}}