{"id":"W1961676567","doi":"10.48550/arxiv.1211.2365","title":"Discrete Dubins Paths","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Bounded function; Path (computing); Shortest path problem; Motion planning; Arc length; Arc (geometry); Combinatorics; Geometry; Mathematical analysis; Computer science; Artificial intelligence; Robot","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":[0.0003365431,0.0004083375,0.0003966483,0.000236279,0.0001740671,0.0001526892,0.002944638,0.0003727404,0.00002738],"category_scores_gemma":[0.00004096468,0.0004568188,0.0002432141,0.0004954992,0.0001080317,0.0005613517,0.003521885,0.0008198221,0.0005699625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230134,"about_ca_system_score_gemma":0.0001993216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200189,"about_ca_topic_score_gemma":0.000002961533,"domain_scores_codex":[0.9976184,0.0001769758,0.0002144771,0.001179307,0.0001464635,0.0006643989],"domain_scores_gemma":[0.9971368,0.0001119211,0.0002801648,0.002014108,0.0001034905,0.0003534695],"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":[0.0000218924,0.0002751348,0.01717609,0.0001868923,0.0003204085,0.002501621,0.002003752,0.6187251,0.00006299643,0.35278,0.002581619,0.00336459],"study_design_scores_gemma":[0.000411356,0.00003996471,0.007129019,0.0001480157,0.00009478611,0.00002402002,0.00004573008,0.9682553,0.0000734206,0.02156976,0.001270775,0.0009378945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02330342,0.0001328925,0.9664577,0.0001251057,0.002130989,0.0002387764,0.00002430541,0.0005756803,0.007011093],"genre_scores_gemma":[0.967017,0.00005965857,0.02979783,0.00009424698,0.000219723,0.000001054674,0.00002385601,0.00002605423,0.002760565],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9437136,"threshold_uncertainty_score":0.9997883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08190046594147332,"score_gpt":0.1940607351774767,"score_spread":0.1121602692360034,"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."}}