{"id":"W4386861040","doi":"10.1080/00207179.2023.2260045","title":"An annular event-triggered artificial time-delayed control-based guidance approach","year":2023,"lang":"en","type":"article","venue":"International Journal of Control","topic":"Guidance and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Missile; Computer science; A priori and a posteriori; Robust control; Control engineering; Control (management); Engineering; Control system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009407991,0.000210813,0.0004572528,0.0003680568,0.00004614678,0.0001473854,0.0007011368,0.000110207,0.00006305478],"category_scores_gemma":[0.0000985004,0.0001931748,0.0002859941,0.0001976163,0.00003148869,0.0003937983,0.000006869298,0.0002382045,0.0001932622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215179,"about_ca_system_score_gemma":0.0001013623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009054497,"about_ca_topic_score_gemma":0.00000308544,"domain_scores_codex":[0.9976506,0.0001317162,0.0009287979,0.000156491,0.0008196073,0.0003128283],"domain_scores_gemma":[0.9985141,0.0001383228,0.0003037143,0.0002093726,0.0006765968,0.0001579481],"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":[0.0008707633,0.0001336929,0.0009960716,0.00001353096,0.0009126294,0.0002054111,0.00008807474,0.8532517,0.1311936,0.0003170487,0.006290224,0.005727247],"study_design_scores_gemma":[0.005535305,0.0001881705,0.002302462,0.0000595858,0.00007266428,0.00004090494,0.00004049222,0.985635,0.00102671,0.0005034329,0.004365779,0.0002294834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2748284,0.001593078,0.7135265,0.00210146,0.004732379,0.0006306313,0.0002901352,0.0005583616,0.001739065],"genre_scores_gemma":[0.9975535,0.000009644241,0.000184121,0.0003523436,0.001730159,0.00002695235,0.00002142169,0.00004370905,0.00007811322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7227252,"threshold_uncertainty_score":0.7877441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006948056024966271,"score_gpt":0.2405786608970175,"score_spread":0.2336306048720512,"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."}}