{"id":"W2327415880","doi":"10.2514/6.2012-2597","title":"Prototype Unmanned System Training Simulator","year":2012,"lang":"en","type":"article","venue":"Infotech@Aerospace 2012","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Scalability; Certification; Computer science; Simulation; Systems engineering; Training system; Training (meteorology); Embedded system; Software engineering; Engineering; 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":[0.0003100336,0.0003412742,0.0002464614,0.0001903547,0.0001969043,0.0004023279,0.0009754151,0.0005033239,0.007947395],"category_scores_gemma":[0.0005564484,0.0001486053,0.0002268835,0.00009596267,0.0001789121,0.0004352688,0.0004454224,0.0003515951,0.00120936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689522,"about_ca_system_score_gemma":0.0006680297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006946913,"about_ca_topic_score_gemma":0.000785907,"domain_scores_codex":[0.9997253,0.00005515449,0.00001822398,0.00003663633,0.0001278602,0.00003684109],"domain_scores_gemma":[0.9997409,0.00004856407,0.00001435828,0.00004015964,0.00009919607,0.00005694119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001246716,0.001336693,0.006548669,0.0009550623,0.0001062519,0.00109225,0.0007748557,0.1935935,0.3973276,0.01344155,0.03463912,0.3489377],"study_design_scores_gemma":[0.0005928809,0.006862624,0.01047595,0.00009219226,0.00007846006,0.001357878,0.0002987932,0.5801494,0.1775278,0.002800543,0.2196162,0.0001473151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2799871,0.0002548336,0.6654133,0.0006573495,0.0006696571,0.002006752,0.0008956705,0.006413891,0.04370157],"genre_scores_gemma":[0.7651467,0.0002053889,0.1892257,0.0002743394,0.00004077599,0.0008675536,0.001106562,0.0002570105,0.04287595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007947395,"threshold_uncertainty_score":0.02658665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1966942457783256,"score_gpt":0.4204674175160964,"score_spread":0.2237731717377708,"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."}}