{"id":"W2587741636","doi":"10.1016/j.jenvrad.2017.01.020","title":"Modeling background radiation in Southern Nevada","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Radioactivity","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; National Nuclear Security Administration; International Atomic Energy Agency; Natural Resources Canada; U.S. Department of Energy","keywords":"Advanced Spaceborne Thermal Emission and Reflection Radiometer; Bedrock; Geological survey; Radiometric dating; Aerial survey; Shore; Background radiation; Remote sensing; Geology; Alluvium; Earth science; Environmental science; Digital elevation model; Radiation; Geomorphology; Paleontology; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001373687,0.0003344329,0.0001945741,0.0003484522,0.0003682674,0.0006579502,0.000467817,0.0003407105,0.0009695174],"category_scores_gemma":[0.0002762798,0.000167635,0.0002156468,0.0003571689,0.0001681072,0.0003231116,0.0002708874,0.0001991347,0.0001449094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446061,"about_ca_system_score_gemma":0.001079958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2291618,"about_ca_topic_score_gemma":0.2480482,"domain_scores_codex":[0.9999487,0.00001267616,0.000001562394,0.00001529227,0.00001176051,0.000009958217],"domain_scores_gemma":[0.9999299,0.0000243594,0.000009118883,0.000004154197,0.00002431415,0.000008051194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002226431,0.0000325826,0.0158759,0.00001438631,0.00001066305,0.00007783786,0.00005043359,0.9766502,0.0008722487,0.0009781834,0.000371527,0.005043769],"study_design_scores_gemma":[0.00001941037,0.00002827621,0.009552919,0.00001407579,0.00001067523,0.00002827828,0.0001503233,0.9859124,0.0005051286,0.0008045465,0.002963573,0.00001041166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684337,0.0002950235,0.01460782,0.0001989869,0.0000190801,0.00002914678,0.0007002656,0.000255561,0.01546048],"genre_scores_gemma":[0.9918149,0.0002279357,0.003689612,0.0000325846,0.000003965368,0.00002583339,0.0005852511,0.00004112508,0.00357874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2291618,"threshold_uncertainty_score":0.4556558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115399771358855,"score_gpt":0.2344583635474521,"score_spread":0.2133043658338636,"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."}}