{"id":"W2049954052","doi":"10.1007/s00224-005-1223-5","title":"Rendezvous and Election of Mobile Agents: Impact of Sense of Direction","year":2005,"lang":"en","type":"article","venue":"Theory of Computing Systems","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Rendezvous; Leader election; Correctness; Computer science; Constructive proof; Node (physics); Context (archaeology); Asynchronous communication; Enhanced Data Rates for GSM Evolution; Topology (electrical circuits); Protocol (science); Theoretical computer science; Computer network; Distributed computing; Algorithm; Mathematics; Discrete mathematics; Combinatorics; Artificial intelligence","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":[0.001622623,0.000447385,0.0008093397,0.0008483988,0.001122009,0.002897526,0.0008662739,0.001189801,0.004969195],"category_scores_gemma":[0.02702788,0.000460121,0.0004686059,0.0008057077,0.001633584,0.003821985,0.00173478,0.001093954,0.0005488775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007353461,"about_ca_system_score_gemma":0.001388494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003388579,"about_ca_topic_score_gemma":0.00392812,"domain_scores_codex":[0.9991276,0.0003362665,0.00002671829,0.0001705717,0.0001347104,0.0002041904],"domain_scores_gemma":[0.9881109,0.00781979,0.001249145,0.0009775521,0.0008416027,0.001000943],"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":[0.004225736,0.000460825,0.02556846,0.0003636634,0.0003092044,0.0004540901,0.001106652,0.6017683,0.01832698,0.2632562,0.004661586,0.07949835],"study_design_scores_gemma":[0.0003196949,0.0005517068,0.01003099,0.00003511126,0.0001441442,0.0004053918,0.001507663,0.8274857,0.004226942,0.1516384,0.003586933,0.00006730016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226852,0.001467405,0.04988167,0.001772641,0.0002327059,0.00003405525,0.0001138156,0.0001488295,0.02366356],"genre_scores_gemma":[0.9972926,0.0002278197,0.001410877,0.00002318404,0.00001881826,0.000006390531,0.000028141,0.00001888143,0.0009733557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004969195,"threshold_uncertainty_score":0.01662368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150854146727756,"score_gpt":0.2905820463513931,"score_spread":0.2754966316786175,"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."}}