{"id":"W2988992172","doi":"10.48550/arxiv.1911.06519","title":"Safe Coverage of Compact Domains For Second Order Dynamical Systems","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Reachability; Bounded function; Collision avoidance; Domain (mathematical analysis); Controller (irrigation); Computer science; Pairwise comparison; Lyapunov function; Stability theory; Dynamical systems theory; Control theory (sociology); Topology (electrical circuits); Mathematical optimization; Mathematics; Collision; Applied mathematics; Mathematical analysis; Algorithm; Control (management); Physics; Nonlinear 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004613246,0.0004755844,0.001016635,0.000295485,0.0000999855,0.0001899358,0.002676276,0.0004791079,0.00003070499],"category_scores_gemma":[0.00006479991,0.0005294554,0.0004521628,0.0004909264,0.00009894933,0.0003702987,0.0009397311,0.0004525705,0.00009768335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004932339,"about_ca_system_score_gemma":0.0004233237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002598207,"about_ca_topic_score_gemma":0.00005225691,"domain_scores_codex":[0.9971499,0.0002630388,0.0005412039,0.001294101,0.0001947917,0.0005569516],"domain_scores_gemma":[0.9959837,0.0004599444,0.0008023144,0.002039023,0.00049568,0.0002193466],"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":[0.0001134947,0.0002163039,0.003444648,0.001010529,0.0005507688,0.00008596985,0.0001105727,0.719626,0.0002469525,0.2730403,0.00148321,0.00007131189],"study_design_scores_gemma":[0.002458275,0.0001085522,0.001294459,0.0002375783,0.0001030343,0.000007370882,0.00005275304,0.9883029,0.00004477358,0.002716819,0.004096764,0.0005767124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1264011,0.00008911351,0.8643059,0.00003952507,0.002159975,0.00163079,0.0009113053,0.000151008,0.004311297],"genre_scores_gemma":[0.9953924,0.00001684562,0.0004252725,0.00003197233,0.00008106798,0.000003334266,0.0001579417,0.0000313604,0.003859813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8689913,"threshold_uncertainty_score":0.9997157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04469253310768868,"score_gpt":0.1937960469819995,"score_spread":0.1491035138743109,"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."}}