{"id":"W2361671019","doi":"","title":"The Characteristics of Spatial Distribution of the Radionuclides Pu in Soils and Lake Sediments in China","year":2015,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Radionuclide; Environmental science; Soil water; Pollution; China; Spatial distribution; Sediment; Physical geography; Environmental chemistry; Earth science; Hydrology (agriculture); Soil science; Geology; Ecology; Geography; Chemistry; Archaeology; Biology; Nuclear physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003091774,0.00005704434,0.00009326968,0.00001222143,0.00003283027,0.000008104845,0.0001099156,0.00003160281,0.00002957243],"category_scores_gemma":[0.00006871199,0.00003575136,0.00001834814,0.0001196115,0.0001962172,0.0000932153,0.0000394349,0.00007385242,0.000003330222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005296064,"about_ca_system_score_gemma":0.000011265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008090813,"about_ca_topic_score_gemma":0.004746031,"domain_scores_codex":[0.9993926,0.00007395667,0.000182445,0.00009328411,0.0001628042,0.00009494799],"domain_scores_gemma":[0.9997532,0.00004220617,0.0000575533,0.0001114497,0.00000788368,0.0000277162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004308239,0.0000859976,0.976408,0.000004526701,0.000004887012,0.000001485714,0.0008111298,0.00002797303,0.001001805,0.0002713778,0.00009352452,0.02124619],"study_design_scores_gemma":[0.0004567743,0.0000302812,0.9953066,0.00001229417,0.000003685081,0.000001161301,0.00005484998,0.0005761264,0.001975946,0.0001370252,0.001406507,0.00003877845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981667,0.00001660397,0.0001917049,0.0003529685,0.00009602446,0.0001477278,0.00003480617,0.000001941544,0.0009915093],"genre_scores_gemma":[0.9998381,0.00002553851,0.000007025862,0.00002161857,0.000009405971,0.000005370754,0.00001102911,0.000003055937,0.00007890112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02120742,"threshold_uncertainty_score":0.2648396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007056055513480282,"score_gpt":0.2082013780871441,"score_spread":0.2011453225736638,"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."}}