{"id":"W2265567801","doi":"10.2172/881510","title":"Ecological Screening Values for Surface Water, Sediment, and Soil: 2005 Update","year":2005,"lang":"en","type":"report","venue":"","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Savannah River National Laboratory; U.S. Fish and Wildlife Service; Oak Ridge National Laboratory; National Oceanic and Atmospheric Administration; U.S. Department of Energy; U.S. Environmental Protection Agency; Rijksinstituut voor Volksgezondheid en Milieu; U.S. Geological Survey","keywords":"Environmental remediation; Environmental science; Remedial action; Risk assessment; Nuclear decommissioning; Environmental impact assessment; Baseline (sea); Wildlife; Ecological assessment; Environmental resource management; Environmental planning; Ecology; Engineering; Contamination; Waste management; Fishery; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004104169,0.0003317418,0.000537949,0.00005746529,0.0001517245,0.00005652554,0.00009120446,0.0003000372,0.0002707018],"category_scores_gemma":[0.00001733009,0.0002251575,0.000130933,0.00002265887,0.00005539733,0.00009733986,0.0001022485,0.0002608856,0.00002916622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120052,"about_ca_system_score_gemma":0.00001966211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004295164,"about_ca_topic_score_gemma":0.0001009699,"domain_scores_codex":[0.9986936,0.00001310231,0.0002534363,0.000306912,0.0002307892,0.000502177],"domain_scores_gemma":[0.9995804,0.00008333824,0.0000302861,0.0001561828,0.00005705202,0.00009271671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002710465,0.00008872884,0.0004051288,0.0008131118,0.001718402,0.00002159102,0.0002171799,0.02311937,0.001206892,0.00002831008,0.9472904,0.02506373],"study_design_scores_gemma":[0.0003700186,0.00005059804,0.000763532,0.00004586642,0.0001724882,0.00004164617,0.00007762755,0.008634542,0.002101011,0.00003616811,0.9871658,0.0005407133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3544427,0.04263186,0.01950831,0.004094079,0.009144471,0.004147653,0.0007420575,0.006417578,0.5588713],"genre_scores_gemma":[0.6190006,0.1321073,0.0675979,0.0005105752,0.007798972,0.000170843,0.0006463298,0.0009063719,0.1712612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3876101,"threshold_uncertainty_score":0.9181657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188013282131811,"score_gpt":0.2715119344944885,"score_spread":0.2396318016731704,"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."}}