{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008496661,0.0006728484,0.001530967,0.00073043,0.0008358534,0.001103269,0.001260202,0.000968569,0.003239804],"category_scores_gemma":[0.003392949,0.0004655444,0.0003927265,0.001141691,0.0009580554,0.002519694,0.001742115,0.00134742,0.0006804415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006424182,"about_ca_system_score_gemma":0.001313988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003848766,"about_ca_topic_score_gemma":0.005932984,"domain_scores_codex":[0.9993383,0.000163659,0.00004521801,0.0001393029,0.0002116618,0.0001016852],"domain_scores_gemma":[0.9983171,0.0008113377,0.0001917881,0.0003825571,0.0002382861,0.00005890536],"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":[0.0003485136,0.00006782759,0.0008940797,0.0001925833,0.0000410655,0.0001867846,0.0001428882,0.7783596,0.008442657,0.04303729,0.00228772,0.165999],"study_design_scores_gemma":[0.00001215951,0.00004255659,0.0001032324,0.000009534388,0.000004126176,0.00003234569,0.00001315956,0.9798838,0.001885336,0.01716695,0.0008405787,0.000006192977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02680806,0.0002305397,0.9692676,0.000129554,0.00005384948,0.00005949405,0.000115075,0.0007519107,0.002583885],"genre_scores_gemma":[0.8054757,0.0002567838,0.1886974,0.00004655817,0.00004207103,0.0001349333,0.000317838,0.0001434298,0.004885312],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003848766,"threshold_uncertainty_score":0.01083827,"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."}}