{"id":"W2899031087","doi":"10.1007/978-3-030-01325-7_20","title":"Broadcast with Energy-Exchanging Mobile Agents Distributed on a Tree","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Mobile agent; Distributed computing; Tree (set theory); Energy (signal processing); Computer network","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":[0.0006603291,0.0004329977,0.0009792784,0.0005099387,0.0007309936,0.001237129,0.001238566,0.00107049,0.002518961],"category_scores_gemma":[0.002622835,0.0003921236,0.0004570053,0.001142431,0.0005976429,0.001367289,0.001299363,0.0008790474,0.000594334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005889328,"about_ca_system_score_gemma":0.0004478505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199971,"about_ca_topic_score_gemma":0.001244928,"domain_scores_codex":[0.9996374,0.0001028865,0.00002043678,0.00006965294,0.0001059815,0.00006382151],"domain_scores_gemma":[0.9989437,0.0006354803,0.00007315748,0.0001489558,0.0001272338,0.00007151768],"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":[0.001372252,0.0002088052,0.001029166,0.0003244638,0.0001590154,0.000430644,0.0004450885,0.7458051,0.02616975,0.11573,0.006147452,0.1021782],"study_design_scores_gemma":[0.00008859541,0.00009361199,0.0001370611,0.00001308834,0.00003555782,0.00008707018,0.00005528772,0.9663314,0.002603669,0.02781697,0.002725837,0.00001188319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09284144,0.0006235514,0.8940822,0.0005540055,0.0001863416,0.00008399347,0.0001472462,0.0006224667,0.01085869],"genre_scores_gemma":[0.8513148,0.0006173893,0.1330873,0.0001174437,0.0001372938,0.00009882187,0.0001971014,0.000112637,0.01431728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002518961,"threshold_uncertainty_score":0.008426726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843230181514837,"score_gpt":0.2469168314700199,"score_spread":0.2284845296548716,"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."}}