{"id":"W2397282477","doi":"10.21553/rev-jec.4","title":"Minimalist Self-Organization in Wireless Networks","year":2011,"lang":"en","type":"article","venue":"REV Journal on Electronics and Communications","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Self-organization; Wireless network; Wireless; Distributed computing; Radio resource management; Scalability; Wireless ad hoc network; Evolving networks; Adaptability; Fault tolerance; Wireless sensor network; Heuristic; Set (abstract data type); Hierarchical organization; Complex network; Computer network; Telecommunications; 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":[0.0004192279,0.0001736964,0.0003381988,0.000416012,0.0005836316,0.0009401826,0.0005905162,0.000580729,0.001104089],"category_scores_gemma":[0.001538729,0.0002012143,0.0002468304,0.0002201479,0.001485442,0.001189534,0.0008973322,0.0006638916,0.0001918199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889803,"about_ca_system_score_gemma":0.0003780799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000666926,"about_ca_topic_score_gemma":0.0007835022,"domain_scores_codex":[0.9997018,0.0001108457,0.00001218331,0.00004461393,0.00008615066,0.00004439094],"domain_scores_gemma":[0.9994786,0.0002368482,0.00007207326,0.00008116129,0.00006574473,0.00006554421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001473461,0.00001236523,0.0003454205,0.00005944736,0.00001694288,0.00009597892,0.0001643518,0.08794134,0.001886001,0.9000802,0.001472339,0.007910936],"study_design_scores_gemma":[0.000008718765,0.00001567995,0.0002067108,0.000009950933,0.000003707649,0.00005794979,0.00003731623,0.1809774,0.0002433522,0.8147788,0.003651952,0.000008427902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1593243,0.002921326,0.7691019,0.003845738,0.0001780732,0.0001009462,0.0001530668,0.0003820615,0.06399239],"genre_scores_gemma":[0.9594834,0.001021463,0.03336824,0.0001879986,0.0001400763,0.0001579683,0.00007914321,0.00004072988,0.005521012],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001104089,"threshold_uncertainty_score":0.004998982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189558005916652,"score_gpt":0.2152623453705219,"score_spread":0.1963065447788567,"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."}}