{"id":"W1951792080","doi":"10.5555/2348196.2348227","title":"VCELL: a 3D real-time visual simulation in support of combat","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Visualization; Modular design; DEVS; Real-time computing; Software; Simulation; Modeling and simulation; Distributed computing; Human–computer interaction; Artificial intelligence; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314503,0.0005523097,0.0004257259,0.0003584551,0.000374962,0.001230943,0.0013572,0.0008109821,0.006043803],"category_scores_gemma":[0.00103473,0.0003362683,0.0005801821,0.0003206133,0.0005378408,0.0007105038,0.0008793804,0.0007808052,0.001012664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007634701,"about_ca_system_score_gemma":0.001135698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008348859,"about_ca_topic_score_gemma":0.007465012,"domain_scores_codex":[0.9997559,0.00005933256,0.00001147393,0.00002535761,0.0001206338,0.00002739116],"domain_scores_gemma":[0.9996796,0.0001164763,0.00002782219,0.00004129416,0.00008442166,0.00005055848],"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":[0.00008646739,0.00004170879,0.0009681511,0.0001285885,0.00003098202,0.0001780262,0.0001848112,0.9287053,0.01348105,0.02603085,0.005085365,0.02507859],"study_design_scores_gemma":[0.00002434888,0.00002833841,0.0001305211,0.0000124026,0.000008354702,0.0000494193,0.000015531,0.9720354,0.004811334,0.002398807,0.02046352,0.00002202517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02113223,0.0002532526,0.9556028,0.0002691744,0.0001669816,0.0001428531,0.0007201173,0.004572224,0.01714042],"genre_scores_gemma":[0.4449035,0.000897602,0.5357916,0.0001919757,0.00005648691,0.0006946441,0.002309993,0.001081038,0.01407309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008348859,"threshold_uncertainty_score":0.02021849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1826582378405571,"score_gpt":0.4533223804824625,"score_spread":0.2706641426419054,"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."}}