{"id":"W2866138255","doi":"10.4050/f-0074-2018-12771","title":"Maneuver Generation for Regime Recognition Design and Validation","year":2018,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.002894472,0.0007933344,0.0004499206,0.0007519481,0.0003457239,0.0008023197,0.001229969,0.0006801611,0.004442104],"category_scores_gemma":[0.008966985,0.0003614987,0.0007055861,0.000283678,0.0005914766,0.0008042062,0.001076461,0.001063013,0.0008230649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006197093,"about_ca_system_score_gemma":0.00116913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846618,"about_ca_topic_score_gemma":0.001428053,"domain_scores_codex":[0.9988866,0.0003527427,0.00007051878,0.0002202238,0.0003555838,0.0001143483],"domain_scores_gemma":[0.9972282,0.0011759,0.0002957246,0.0005985323,0.0006270881,0.0000744328],"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":[0.0002833901,0.0002340102,0.005435769,0.0001891887,0.00006335258,0.0001229982,0.0001673864,0.7678747,0.0266473,0.0167917,0.001589383,0.1806009],"study_design_scores_gemma":[0.00001592734,0.0001418098,0.0004840179,0.00001493183,0.000007918099,0.00002713916,0.00001669693,0.9867387,0.008785345,0.002167911,0.001590637,0.000009038648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01995189,0.0000302907,0.9761655,0.00004175642,0.00002154748,0.0002328082,0.00008209888,0.001292287,0.002181734],"genre_scores_gemma":[0.5745358,0.00005299093,0.4226758,0.0001171462,0.00002007463,0.000750825,0.0003619937,0.000260369,0.001225046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004442104,"threshold_uncertainty_score":0.01530766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05200357903449071,"score_gpt":0.2426062454616503,"score_spread":0.1906026664271596,"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."}}