{"id":"W4312060033","doi":"10.1371/journal.pone.0279412","title":"Experimental investigation of short-term warming on arsenic flux from contaminated sediments of two well-oxygenated subarctic lakes","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Sediment; Subarctic climate; Bay; Organic matter; Flux (metallurgy); Benthic zone; Environmental science; Environmental chemistry; Arsenic; Geology; Contamination; Hydrology (agriculture); Oceanography; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001848543,0.0003217781,0.0002926231,0.0001442662,0.0005507678,0.0004492114,0.0002431053,0.0002688548,0.0005726265],"category_scores_gemma":[0.0002381075,0.0002972562,0.000228664,0.0001986744,0.0005630358,0.0002755701,0.000512242,0.0003939771,0.00008850786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009043051,"about_ca_system_score_gemma":0.0007142765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506898,"about_ca_topic_score_gemma":0.0368168,"domain_scores_codex":[0.9998497,0.00002278655,0.00001216665,0.00006180919,0.00002663539,0.00002698313],"domain_scores_gemma":[0.9997061,0.00005490138,0.00008221153,0.00002906914,0.00006456605,0.00006308289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001504562,0.0001859625,0.01407703,0.00004153148,0.00002686386,0.00009456287,0.0004122879,0.0001895304,0.9825523,0.00002286205,0.00001975457,0.0008728334],"study_design_scores_gemma":[0.0001661251,0.007388354,0.47268,0.00001191303,0.0001810667,0.0001571338,0.001261779,0.00180843,0.5150454,0.00006337758,0.001198565,0.00003781176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997891,0.00001314854,0.0000729274,0.000004075947,0.000001346137,0.000008450821,0.0000365101,0.000002146059,0.00007243907],"genre_scores_gemma":[0.9982673,0.00007050664,0.0007782802,0.00002696647,0.000004195744,0.00004897103,0.000150234,0.000007219192,0.0006464026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01506898,"threshold_uncertainty_score":0.02996254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033009164769419,"score_gpt":0.2351646823861701,"score_spread":0.2048345907384759,"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."}}