{"id":"W2595059463","doi":"10.1007/s00165-017-0424-4","title":"Synthesizing and verifying controllers for multi-lane traffic maneuvers","year":2017,"lang":"en","type":"article","venue":"Formal Aspects of Computing","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Deutsche Forschungsgemeinschaft","keywords":"Theory of computation; Interleaving; Controller (irrigation); Computer science; Semantics (computer science); Finite-state machine; State (computer science); Transition system; Distributed computing; Control theory (sociology); Control (management); Control engineering; Real-time computing; Theoretical computer science; Programming language; Artificial intelligence; Engineering","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":[0.002783305,0.0006084179,0.000557749,0.0005020131,0.0006801886,0.001279781,0.001350236,0.001056505,0.00195584],"category_scores_gemma":[0.007439815,0.000608291,0.001116338,0.000263008,0.002081001,0.001379026,0.001724209,0.001101637,0.0002635673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009463816,"about_ca_system_score_gemma":0.002459845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003273155,"about_ca_topic_score_gemma":0.00376387,"domain_scores_codex":[0.9976981,0.000606593,0.0001966035,0.000433287,0.0008179339,0.0002475199],"domain_scores_gemma":[0.9946409,0.003344482,0.000501823,0.0008749588,0.0005476549,0.00009011335],"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":[0.0002389686,0.0002569427,0.002942548,0.0004353246,0.0001006729,0.0006920247,0.0007399199,0.7781947,0.05811049,0.1087401,0.0005450003,0.04900323],"study_design_scores_gemma":[0.00005124689,0.00007686939,0.0001645043,0.0000215723,0.00003184997,0.00004205805,0.00005774115,0.9398667,0.03529198,0.02323893,0.001143822,0.00001286428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07288396,0.00004198988,0.9236758,0.00009708077,0.00002824859,0.0001448606,0.00005215359,0.001702787,0.001373179],"genre_scores_gemma":[0.8465016,0.00004749376,0.1523534,0.00004775664,0.000008752662,0.0001324148,0.00009315566,0.0001318394,0.0006836095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003273155,"threshold_uncertainty_score":0.01471967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0643636300957055,"score_gpt":0.3309971874528164,"score_spread":0.2666335573571109,"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."}}