{"id":"W4308480843","doi":"10.1109/lcsys.2022.3215944","title":"Defending a Target Area With a Slower Defender","year":2022,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Guidance and Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drone; Computer science; Trajectory; Bounded function; Abstraction; Artificial intelligence; Computer security; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004246403,0.0007937409,0.0007732183,0.000330081,0.000411184,0.0009622524,0.0007885086,0.0009478327,0.003713408],"category_scores_gemma":[0.001199393,0.0002831813,0.000586062,0.0001896606,0.0007491469,0.001133484,0.001592764,0.001332851,0.0004272089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004473003,"about_ca_system_score_gemma":0.0006511745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001945628,"about_ca_topic_score_gemma":0.001501019,"domain_scores_codex":[0.9997029,0.00006306441,0.00001111979,0.00008724452,0.00005356644,0.00008215522],"domain_scores_gemma":[0.9993858,0.0002645036,0.0001168126,0.00007183616,0.00005550305,0.000105574],"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":[0.0002944873,0.00008127197,0.001510559,0.0001546949,0.00005348001,0.0006184939,0.0002056656,0.8404198,0.03694174,0.08954821,0.001470268,0.02870138],"study_design_scores_gemma":[0.00002327108,0.0001584183,0.0002943554,0.00001039263,0.000009999874,0.00009309693,0.00003559526,0.986767,0.002029001,0.009298238,0.001270177,0.00001052837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283941,0.0001811813,0.8604935,0.0003190852,0.00005824689,0.00005868424,0.00004622783,0.0001426043,0.01030633],"genre_scores_gemma":[0.9453496,0.0001345682,0.04755042,0.00008207896,0.00002285484,0.00007542066,0.00004679881,0.00003424149,0.006703992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003713408,"threshold_uncertainty_score":0.01242256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006937072416864617,"score_gpt":0.1605224244703084,"score_spread":0.1535853520534438,"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."}}