{"id":"W2115641275","doi":"10.1109/robot.2009.5152214","title":"Decentralized localization for dynamic and sparse robot networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot; Computer science; Mobile robot; Network topology; Distributed computing; State (computer science); Information exchange; Telecommunications network; Range (aeronautics); Decentralised system; Robot kinematics; Topology (electrical circuits); Computer network; Artificial intelligence; Engineering; Control (management); Algorithm; Telecommunications","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":[0.0005480421,0.0003123781,0.0004469864,0.0004303525,0.0004859218,0.0004567106,0.0006946583,0.0004621805,0.0007065951],"category_scores_gemma":[0.003292379,0.0002549048,0.0002422603,0.0003850018,0.0006843924,0.0009365621,0.001148188,0.0004317935,0.0001603209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005530717,"about_ca_system_score_gemma":0.0005038233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418055,"about_ca_topic_score_gemma":0.001660662,"domain_scores_codex":[0.9995409,0.0001326983,0.00001688824,0.00009730409,0.000167871,0.00004433646],"domain_scores_gemma":[0.9988235,0.0006147852,0.0001946079,0.0001562611,0.0001731839,0.00003773287],"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":[0.00007469168,0.00001659653,0.0006320201,0.00007266024,0.00001964757,0.0001240923,0.0001050853,0.9030994,0.007820437,0.03510889,0.0009305585,0.05199601],"study_design_scores_gemma":[0.000008705361,0.00002135831,0.000143322,0.000003118254,0.000003022521,0.00003625017,0.00001120598,0.9879386,0.0008122527,0.01034441,0.0006737107,0.000003924764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01652181,0.0001049474,0.981955,0.00010824,0.00001160648,0.00001281152,0.00001466567,0.0002349514,0.001035907],"genre_scores_gemma":[0.8804176,0.0002162826,0.1170899,0.00004844122,0.00003723281,0.0001039768,0.0000878671,0.00004794065,0.001950756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001418055,"threshold_uncertainty_score":0.004012823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005924278095899322,"score_gpt":0.2143280324611535,"score_spread":0.2084037543652542,"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."}}