{"id":"W4402543171","doi":"10.1007/978-3-031-70932-6_4","title":"Byzantine Fault Detection in Swarm-SLAM Using Blockchain and Geometric Constraints","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Byzantine architecture; Blockchain; Byzantine fault tolerance; Computer science; Swarm behaviour; Fault (geology); Artificial intelligence; Distributed computing; Fault tolerance; Geology; Computer security; Seismology; Archaeology; Geography","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":[0.0002734341,0.0002707835,0.0002664885,0.001559767,0.00005519527,0.0001503664,0.0001723407,0.0002380955,0.000007485517],"category_scores_gemma":[0.0000421487,0.0002718981,0.00003507428,0.0008659291,0.0002702525,0.00005384551,0.00009111335,0.0004941227,0.000005167808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139646,"about_ca_system_score_gemma":0.00004571657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002437537,"about_ca_topic_score_gemma":0.00010442,"domain_scores_codex":[0.9986255,0.000006996082,0.0003031965,0.0004853057,0.0002844402,0.000294573],"domain_scores_gemma":[0.999532,0.0001178258,0.00004158988,0.0001933387,0.00005438328,0.00006080122],"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":[9.339686e-7,0.000002592907,0.00002025361,0.00007151179,0.000004323611,0.00003788017,0.00008648367,0.8408102,0.0007840961,0.000276185,3.58189e-7,0.1579052],"study_design_scores_gemma":[0.0001306636,0.00002874938,0.00004045239,0.0003349399,0.000008965008,0.00005306021,2.855737e-7,0.9915614,0.003794562,0.003691646,0.0000741763,0.0002811445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01430165,0.0007426299,0.9829782,0.00002742617,0.001041516,0.0001850395,0.000004567183,0.0000983787,0.0006206293],"genre_scores_gemma":[0.9836062,0.00006214363,0.01601996,0.00005598661,0.0001750897,0.000001132594,0.00000291732,0.00003938168,0.0000372105],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9693045,"threshold_uncertainty_score":0.9999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247558084300082,"score_gpt":0.2197469310746921,"score_spread":0.2072713502316913,"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."}}