{"id":"W4413010775","doi":"10.1109/tvcg.2025.3596334","title":"Thunderstruck: Visually Simulating Electrical Storms","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Storm; Visualization; Computer graphics (images); Data visualization; Artificial intelligence; Geology","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":[0.0001004465,0.0001878869,0.0002024467,0.0004143857,0.0002183419,0.0001505034,0.00007939382,0.000136826,0.00001755446],"category_scores_gemma":[0.00000162965,0.0001905346,0.00008502758,0.000708973,0.00003168674,0.0001637334,0.00000100478,0.0001717144,0.000006219717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004261848,"about_ca_system_score_gemma":0.00002615445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007863346,"about_ca_topic_score_gemma":0.00001445498,"domain_scores_codex":[0.9990255,0.00005953319,0.0003288784,0.0002171374,0.0001768238,0.0001921737],"domain_scores_gemma":[0.9995445,0.0001244657,0.00003258256,0.0001496416,0.0000720501,0.00007678048],"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":[0.00004494694,0.0001530761,0.0003127704,0.0001380048,0.0002842285,0.00000248604,0.0005919709,0.4840217,0.0001933114,0.4635191,0.0004020887,0.05033639],"study_design_scores_gemma":[0.0007101851,0.00006483062,0.0005200803,0.0000464504,0.00002778108,0.000002324241,0.00002982913,0.9968723,0.0003064878,0.000479886,0.0007600197,0.0001798072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02127269,0.00006138562,0.9764706,0.00001541315,0.00067798,0.0002227576,0.000002737892,0.0005311734,0.0007452427],"genre_scores_gemma":[0.9992102,0.00008198768,0.00009574669,0.0003992081,0.00004959855,0.00001475663,0.000005442403,0.00002422521,0.000118843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9779375,"threshold_uncertainty_score":0.7769774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009048389142252814,"score_gpt":0.2507083595709522,"score_spread":0.2416599704286994,"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."}}