{"id":"W2119921272","doi":"10.1021/es0108537","title":"Seasonal and Interannual Mobility of Arsenic in a Lake Impacted by Metal Mining","year":2002,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Ocean Sciences; Goldcorp","keywords":"Water column; Benthic zone; Sediment; Environmental chemistry; Environmental science; Dissolution; Water quality; Arsenic; Hydrology (agriculture); Sediment–water interface; Dissolved organic carbon; Surface water; Geology; Oceanography; Chemistry; Environmental engineering; Ecology; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002952442,0.0001089221,0.0001350236,0.0001595604,0.00009038951,0.000007965347,0.0002435388,0.00008020344,0.002885602],"category_scores_gemma":[0.00005861907,0.0001062501,0.00002294417,0.0006247056,0.002608107,0.0003563823,0.0003264929,0.00012558,0.00004543492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002132613,"about_ca_system_score_gemma":0.000004526745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001797561,"about_ca_topic_score_gemma":0.0001512051,"domain_scores_codex":[0.9988002,0.00002408959,0.0002198865,0.0003851034,0.0002914965,0.0002792172],"domain_scores_gemma":[0.9996414,0.00002248439,0.00008584513,0.0001742045,0.00000153715,0.00007458487],"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":[0.000006443872,0.0002777871,0.325532,0.000001691343,0.000003120352,0.000003913264,0.001172464,0.0000182074,0.5744845,0.00007240106,0.0001439622,0.09828343],"study_design_scores_gemma":[0.001288695,0.0004085425,0.8790084,0.00001967559,0.00001476619,0.00008691138,0.003678079,0.01624125,0.09044198,0.0003662174,0.008038662,0.0004068055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978783,0.00006914752,0.00005884145,0.0003743298,0.00003403523,0.0001549937,0.00002627927,0.0000274582,0.001376662],"genre_scores_gemma":[0.9992268,0.00003015186,0.0003772543,0.00004925688,0.000002584131,0.00001308357,0.000003749892,0.000004604436,0.0002925169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5534764,"threshold_uncertainty_score":0.9980259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004590722021048495,"score_gpt":0.2012445635697602,"score_spread":0.1966538415487117,"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."}}