{"id":"W2028389286","doi":"10.1021/es800818j","title":"Chronology of Atmospheric Deposition of Arsenic Inferred from Reconstructed Sedimentary Records","year":2008,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Deposition (geology); Anoxic waters; Sediment; Sedimentary rock; Scavenging; Structural basin; Geology; Water column; Sediment trap; Hydrology (agriculture); Oceanography; Geomorphology; Geochemistry; Chemistry","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001375746,0.0001438476,0.000224462,0.0000978264,0.0001880736,0.000002285995,0.0004333813,0.0001526421,0.003578527],"category_scores_gemma":[0.00003192649,0.0001499847,0.00005203829,0.0008947285,0.005225596,0.0003412968,0.0003640256,0.0001416398,0.0001161853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004058244,"about_ca_system_score_gemma":0.00004001831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004871087,"about_ca_topic_score_gemma":0.00006608385,"domain_scores_codex":[0.9984488,0.00003384178,0.0004232821,0.0004535415,0.000358445,0.0002820296],"domain_scores_gemma":[0.9992066,0.0000297616,0.0003107152,0.0003786901,0.000005270674,0.00006897999],"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":[0.00001247915,0.0001096164,0.255224,9.921338e-7,0.000007479754,0.000004625078,0.0002468686,0.00006486086,0.6892626,0.00005704799,0.00004837738,0.05496104],"study_design_scores_gemma":[0.0005502792,0.0002637827,0.5086062,0.00001011327,0.00001611742,0.00008405509,0.0005373608,0.001394207,0.4870388,0.0006791726,0.0006472137,0.0001727436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962533,0.00006726849,0.0009861393,0.0001719324,0.000166354,0.0002145088,0.00001923876,0.00005715112,0.0020641],"genre_scores_gemma":[0.9892798,0.0001141845,0.01036097,0.00006218664,0.000008725758,0.0000151582,0.0000230398,0.000008741961,0.0001271678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2533822,"threshold_uncertainty_score":0.9974816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004519116306440383,"score_gpt":0.1866036764852358,"score_spread":0.1820845601787955,"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."}}