{"id":"W3111321218","doi":"10.29007/mx3f","title":"A Robust Controlled Backward Reach Tube with (Almost) Analytic Solution for Two Dubins Cars","year":2020,"lang":"en","type":"article","venue":"EPiC series in computing","topic":"Guidance and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reachability; Benchmark (surveying); Set (abstract data type); Computer science; Nonlinear system; Mathematical optimization; Pursuit-evasion; Mathematics; Algorithm","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":[0.0006976255,0.0008056221,0.0006291743,0.0005769468,0.0007714825,0.001251693,0.0009201597,0.002631916,0.00335834],"category_scores_gemma":[0.002903769,0.0003106472,0.0006441266,0.0002351755,0.001764957,0.0009287423,0.002146854,0.001277515,0.0002441108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324408,"about_ca_system_score_gemma":0.001237943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005501833,"about_ca_topic_score_gemma":0.002270213,"domain_scores_codex":[0.9996631,0.00009283795,0.00001106806,0.00007703256,0.00008459113,0.00007138344],"domain_scores_gemma":[0.9989956,0.0005724569,0.0001215327,0.00005580902,0.0001316673,0.0001227867],"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":[0.00008680989,0.00003488006,0.0005459905,0.00006740192,0.0000161051,0.0003022779,0.0001037894,0.9055489,0.002154309,0.08696128,0.0008253017,0.003352963],"study_design_scores_gemma":[0.00001306205,0.00003518433,0.00008903364,0.0000104134,0.000003082111,0.00003181733,0.00004072935,0.9818214,0.0007233361,0.01651943,0.0007031141,0.000009538157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2161948,0.0002715543,0.7530537,0.001334407,0.00008653231,0.0001580162,0.0003712468,0.0003672014,0.02816253],"genre_scores_gemma":[0.9440742,0.00009170477,0.04680036,0.0001074586,0.00001690041,0.0001437258,0.0002067541,0.00005693209,0.008501891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005501833,"threshold_uncertainty_score":0.01123476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531251039226548,"score_gpt":0.2227059041197544,"score_spread":0.197393393727489,"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."}}