{"id":"W138035160","doi":"10.5555/1999416.1999471","title":"Virtual intelligence, surveillance and reconnaissance evaluation environment","year":2010,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Military Strategy and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Larus Technologies (Canada)","funders":"","keywords":"Flexibility (engineering); Computer science; Sensor web; Fidelity; Systems engineering; Task (project management); Architecture; Virtual machine; Embedded system; Software engineering; Engineering; Operating system; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005460673,0.0006352832,0.000616829,0.0009903088,0.0008769651,0.003332215,0.001887574,0.0007414077,0.008935724],"category_scores_gemma":[0.006743891,0.0004420836,0.0005294898,0.0007282322,0.001352962,0.002184909,0.00318324,0.001182373,0.001746672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083687,"about_ca_system_score_gemma":0.002351063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003099737,"about_ca_topic_score_gemma":0.00304256,"domain_scores_codex":[0.996438,0.001731452,0.0001874868,0.0002278725,0.001141502,0.0002737173],"domain_scores_gemma":[0.9964259,0.001472882,0.0002042023,0.0005747971,0.0006743373,0.000647835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002180993,0.001513222,0.00784602,0.0008050976,0.0001578497,0.000996238,0.002617497,0.2800256,0.02066323,0.1998609,0.08007707,0.4032562],"study_design_scores_gemma":[0.0007326779,0.001391903,0.005953605,0.000294491,0.00007304268,0.0006429807,0.0008195541,0.4336725,0.02552386,0.06668863,0.4639796,0.0002272214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06033306,0.0003106458,0.8392053,0.001253758,0.0002598756,0.002050949,0.002682041,0.01648172,0.0774227],"genre_scores_gemma":[0.3708135,0.0004859496,0.5993394,0.0002694032,0.00008233005,0.002766379,0.0039925,0.001648983,0.02060146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008935724,"threshold_uncertainty_score":0.02989298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546375852216677,"score_gpt":0.2550603301791217,"score_spread":0.2195965716569549,"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."}}