{"id":"W2033007650","doi":"10.1016/j.jenvrad.2013.05.007","title":"An international database of radionuclide concentration ratios for wildlife: development and uses","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Radioactivity","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"International Atomic Energy Agency; CANDU Owners Group; Natural Environment Research Council; Health Canada; Sight Research UK","keywords":"Radionuclide; Wildlife; Key (lock); Environmental science; Computer science; Organism; Database; Transfer (computing); Ecology; Geology; Biology; Computer security; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003335971,0.001120795,0.001436929,0.02257285,0.0004891875,0.001844734,0.001487179,0.000673895,0.005430283],"category_scores_gemma":[0.005180069,0.0005043203,0.0009175696,0.02527418,0.000218291,0.001838356,0.0008264753,0.0006367778,0.004404159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133582,"about_ca_system_score_gemma":0.003925392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01492429,"about_ca_topic_score_gemma":0.01406161,"domain_scores_codex":[0.9982248,0.0001702413,0.0006786293,0.0003507246,0.0004933022,0.00008240165],"domain_scores_gemma":[0.9895582,0.00146181,0.002390609,0.001519262,0.004643054,0.0004271596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008439631,0.0004265511,0.2065572,0.004640976,0.00110848,0.0004360623,0.0005434014,0.007250128,0.01560495,0.004988384,0.1048745,0.6527255],"study_design_scores_gemma":[0.00009222474,0.0003145967,0.2574588,0.0008057464,0.001373954,0.001627066,0.0004852944,0.003730928,0.01745765,0.002098481,0.7143902,0.0001650633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05839277,0.007285347,0.04582668,0.0003143813,0.000108658,0.0004909402,0.8556327,0.003475786,0.02847275],"genre_scores_gemma":[0.1005738,0.008100113,0.06159695,0.000208052,0.00005244384,0.0007442125,0.8211321,0.0005481105,0.00704414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02257285,"threshold_uncertainty_score":0.02967483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124736660015968,"score_gpt":0.2374788064130269,"score_spread":0.2262314398128672,"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."}}