{"id":"W2753947275","doi":"10.12943/cnr.2017.00005","title":"CHALLENGES FOR PHYSICS-BASED MODELS OF A RADIONUCLIDE DISPERSAL DEVICE","year":2017,"lang":"en","type":"article","venue":"CNL Nuclear Review","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Biological dispersal; Radiological weapon; Fidelity; Spatial dispersion; Dispersion (optics); Terrorism; Plan (archaeology); Computer science; Environmental science; Risk analysis (engineering); Operations research; Physics; Engineering; Geography; Business; Environmental health; Medicine; Optics; Radiochemistry; Telecommunications; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001173575,0.0008250086,0.001673048,0.0006691837,0.0008817157,0.002663238,0.00286239,0.00360803,0.002336247],"category_scores_gemma":[0.003232477,0.0008437326,0.001614759,0.0004808345,0.00200317,0.002788541,0.001340667,0.002801669,0.0005877074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880188,"about_ca_system_score_gemma":0.002318892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378437,"about_ca_topic_score_gemma":0.004715631,"domain_scores_codex":[0.9996656,0.000108469,0.00002266033,0.00005761349,0.0001107558,0.00003501133],"domain_scores_gemma":[0.9986071,0.0007980753,0.0001437429,0.0001077055,0.0002488382,0.00009460212],"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":[0.000009668525,0.00002825265,0.00031507,0.00008056325,0.0000222136,0.0000623444,0.0000609343,0.9209814,0.0006979632,0.07380783,0.001061571,0.002872103],"study_design_scores_gemma":[0.00001104122,0.00001036844,0.0001539909,0.00002589165,0.000006093782,0.00002387708,0.00002526699,0.9581754,0.000114872,0.03762293,0.003815096,0.00001518226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07457037,0.01246044,0.8281367,0.01941844,0.00111166,0.0002661206,0.001300905,0.0007368371,0.06199847],"genre_scores_gemma":[0.8343897,0.01749191,0.1117359,0.002219405,0.001378768,0.0009060176,0.001302059,0.0004698903,0.03010635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01378437,"threshold_uncertainty_score":0.0274083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040300958190639,"score_gpt":0.3116070127365149,"score_spread":0.2075769169174509,"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."}}