{"id":"W2000013825","doi":"10.1002/vis.304","title":"Simulating the aurora","year":2003,"lang":"en","type":"article","venue":"The Journal of Visualization and Computer Animation","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rendering (computer graphics); Natural phenomenon; Electron; Computer science; Computer graphics; Computer graphics (images); Excited state; Atmosphere (unit); Brightness; Physics; Natural (archaeology); Optics; Meteorology; Geology; Atomic physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439592,0.00009249849,0.0001101193,0.0001177854,0.0002880068,0.0002736943,0.0004054602,0.00002904226,0.00000415032],"category_scores_gemma":[0.0000402316,0.00005175158,0.00004556972,0.0004723149,0.00003776259,0.0004599266,0.00008232733,0.00009409431,0.000001013983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000108766,"about_ca_system_score_gemma":0.00003327611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001824173,"about_ca_topic_score_gemma":6.660845e-7,"domain_scores_codex":[0.9987264,0.0004290905,0.0003949863,0.00008397455,0.0002689785,0.00009661584],"domain_scores_gemma":[0.9988471,0.0002117445,0.0003968836,0.0001927171,0.0003136765,0.00003786973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002740247,0.0000242195,0.0001681765,0.000006459653,0.00001185754,4.84153e-7,0.00202268,0.000385335,0.00004801622,0.9869066,0.0005440942,0.009879275],"study_design_scores_gemma":[0.0002210234,0.0002143923,0.001656066,0.00003206619,0.00001362328,0.0001204344,0.00005647152,0.9721817,0.0008318417,0.01766877,0.006916378,0.00008727115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01611696,0.0002352631,0.9829346,0.0002359323,0.0002029251,0.0001015317,1.125294e-7,0.00004475861,0.0001278953],"genre_scores_gemma":[0.9895312,0.000187143,0.009318476,0.000853786,0.00008904389,8.375422e-7,5.356137e-7,0.000006682571,0.00001226344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736161,"threshold_uncertainty_score":0.263924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292494687999939,"score_gpt":0.3088935346640295,"score_spread":0.2859685877840301,"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."}}