{"id":"W2594985984","doi":"10.1016/j.jenvrad.2017.02.017","title":"Near-field investigation of the explosive dispersal of radioactive material based on a reconstructed spherical blast-wave flow","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Radioactivity","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"Government of Canada","keywords":"Explosive material; Dispersion (optics); Environmental science; Atmospheric dispersion modeling; Biological dispersal; Meteorology; Particle (ecology); Blast wave; Field (mathematics); Atmospheric sciences; Mechanics; Shock wave; Physics; Geology; Air pollution; Optics; Population; Chemistry","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":[0.0002132709,0.0003634324,0.00029249,0.001229145,0.0002957052,0.000312982,0.0004820796,0.0004448871,0.001201312],"category_scores_gemma":[0.0003874276,0.0002307097,0.000305995,0.0006468297,0.0004684519,0.0004640679,0.0002803315,0.0003922608,0.0001885533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943817,"about_ca_system_score_gemma":0.0002449352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002441616,"about_ca_topic_score_gemma":0.002697631,"domain_scores_codex":[0.9999326,0.00001009622,0.000002761378,0.00001724182,0.0000249782,0.00001217966],"domain_scores_gemma":[0.999781,0.00006019927,0.00002941229,0.00002485966,0.00005846638,0.00004607383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002869542,0.001164654,0.1169628,0.0002751136,0.0001918216,0.003987071,0.001101057,0.1944305,0.61941,0.003103758,0.001065031,0.05543862],"study_design_scores_gemma":[0.0002306285,0.0009207112,0.338911,0.00004080186,0.0001270874,0.0009376886,0.0005521015,0.6201129,0.03635971,0.0006805656,0.00102204,0.0001048195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922212,0.00005879651,0.005280661,0.00002461068,0.00001071157,0.00003242864,0.0001861639,0.0001184981,0.002066873],"genre_scores_gemma":[0.9965028,0.00005804162,0.002653192,0.000005162488,0.000005361886,0.000009301318,0.0001712115,0.000008796214,0.0005861875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002441616,"threshold_uncertainty_score":0.004854858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182723514673572,"score_gpt":0.2025831893102231,"score_spread":0.1907559541634873,"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."}}