{"id":"W1988551609","doi":"10.1002/net.21453","title":"Deterministic rendezvous in networks: A comprehensive survey","year":2012,"lang":"en","type":"article","venue":"Networks","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Rendezvous; Computer science; Task (project management); Graph; Terrain; Undirected graph; Theoretical computer science; Mathematical optimization; Operations research; Mathematics; Geography; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0006591745,0.0001377941,0.0001900497,0.0000915767,0.00008226962,0.0001194756,0.0005260108,0.0001123709,0.00002749706],"category_scores_gemma":[0.00004888247,0.0001329329,0.00003629206,0.000715758,0.00004373911,0.0003740758,0.0002443788,0.0002933242,0.00003722774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000043356,"about_ca_system_score_gemma":0.00002976759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006763393,"about_ca_topic_score_gemma":0.0001311606,"domain_scores_codex":[0.9982418,0.0003975539,0.0002612179,0.0002510909,0.0001820287,0.0006663038],"domain_scores_gemma":[0.9988132,0.0004050534,0.00007004106,0.0004261709,0.00008394171,0.0002016311],"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":[0.00001704666,0.0001450907,0.08490147,0.000007029295,0.00001262519,0.00001943117,0.0004646814,0.8651366,0.000001388599,0.004162173,0.005886314,0.03924618],"study_design_scores_gemma":[0.0002553613,0.00003116453,0.1314565,0.00001615664,0.000001129706,0.000009636437,0.000005650948,0.8660055,4.958807e-7,0.00006561015,0.002009282,0.000143508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00292684,0.0009986884,0.9930311,0.00008212479,0.0008963253,0.0002130575,9.012442e-7,0.0001244251,0.001726542],"genre_scores_gemma":[0.9923629,0.0001485346,0.006394476,0.0006691801,0.0001978202,0.0000205942,0.00001658208,0.00001294714,0.0001770115],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.989436,"threshold_uncertainty_score":0.5420845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04834175643551917,"score_gpt":0.2885700570184015,"score_spread":0.2402283005828823,"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."}}