{"id":"W2009126184","doi":"10.2514/6.2004-5254","title":"Validation and Verification of Intelligent and Adaptive Control Systems","year":2004,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference and Exhibit","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Adaptive control; Control (management); 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":[0.0113308,0.0008147811,0.0008199364,0.001041912,0.0009615477,0.003235739,0.002271571,0.001809516,0.00234526],"category_scores_gemma":[0.04408614,0.001015756,0.001781213,0.0004428477,0.004583579,0.003490529,0.002579451,0.002179514,0.0005388347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930472,"about_ca_system_score_gemma":0.004445711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005331348,"about_ca_topic_score_gemma":0.003022722,"domain_scores_codex":[0.9816311,0.007602301,0.001110488,0.001877383,0.006420886,0.001357827],"domain_scores_gemma":[0.952389,0.02902325,0.002585273,0.009275402,0.006368877,0.0003581667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000959911,0.0003035059,0.005768743,0.0008932392,0.00028975,0.0006813481,0.001174152,0.3219797,0.02776634,0.5026032,0.00317507,0.134405],"study_design_scores_gemma":[0.0001492462,0.0001372154,0.0008884876,0.0001764265,0.00009495647,0.0001238624,0.00009442845,0.7050769,0.04505482,0.2403455,0.007805776,0.00005237727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04111788,0.000323308,0.9518643,0.0005308641,0.0001311363,0.0001426404,0.0001739894,0.001678804,0.004037003],"genre_scores_gemma":[0.8406782,0.0002801667,0.1553961,0.0002410723,0.00006303441,0.0001816985,0.0004489253,0.0003043486,0.002406414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0113308,"threshold_uncertainty_score":0.05992371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154971692890637,"score_gpt":0.2548679831330076,"score_spread":0.2333182662041012,"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."}}