{"id":"W4402504319","doi":"10.1021/acs.est.4c05594","title":"Uranium Speciation and Mobilization in Thawing Permafrost","year":2024,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Saskatchewan","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Permafrost; Uranium; Genetic algorithm; Mobilization; Environmental science; Environmental chemistry; Geology; Earth science; Chemistry; Ecology; Oceanography; Geography; Biology; Archaeology; Materials science; Metallurgy","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":[0.00009257107,0.0001835979,0.0002395326,0.0004610626,0.0005156617,0.0004042677,0.0002297335,0.0002698687,0.0003827193],"category_scores_gemma":[0.0001418277,0.0001364894,0.0001321516,0.0004600122,0.0003157802,0.0002449684,0.0002054483,0.0001791562,0.00005099709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006656554,"about_ca_system_score_gemma":0.0003386254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03522973,"about_ca_topic_score_gemma":0.06307837,"domain_scores_codex":[0.9999244,0.000004996242,0.000004451188,0.00002302397,0.00002009055,0.00002305603],"domain_scores_gemma":[0.9999502,0.000008467414,0.00001279811,0.000001914577,0.00001753333,0.00000919536],"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":[0.000274886,0.00003672028,0.2787973,0.00008690533,0.00003939947,0.0004846395,0.000790783,0.0005032183,0.7101035,0.00007179369,0.00006216865,0.008748731],"study_design_scores_gemma":[0.000004549137,0.0001099734,0.9536049,0.000006876464,0.00001456704,0.0002794158,0.0008455995,0.001042417,0.0435226,0.00004682109,0.0005128052,0.000009395509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996781,0.00004280455,0.00007492399,0.000002561341,3.373937e-7,0.00000261717,0.00006882576,0.000003334723,0.0001264912],"genre_scores_gemma":[0.9993285,0.00007235165,0.0002244504,0.00001347548,7.238671e-7,0.000003900647,0.000190207,0.00000286977,0.0001635581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03522973,"threshold_uncertainty_score":0.07004935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004757078132079698,"score_gpt":0.2231055402853911,"score_spread":0.2183484621533114,"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."}}