{"id":"W2101230188","doi":"10.1109/atc.2008.4760498","title":"Minimalist self-organization in wireless networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Radio resource management; Distributed computing; Wireless network; Self-organization; Wireless; Wireless ad hoc network; Scalability; Fault tolerance; Wireless sensor network; Evolving networks; Adaptability; Heuristic; Computer network; Complex 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":[0.0004669832,0.0001735261,0.0003389292,0.0004268906,0.0006052142,0.0009724091,0.0006160723,0.0005993342,0.001120282],"category_scores_gemma":[0.001730865,0.0002027686,0.0002433505,0.0002405101,0.001637977,0.001310257,0.0009288882,0.0007465546,0.0001953844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007515398,"about_ca_system_score_gemma":0.0004176371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007202712,"about_ca_topic_score_gemma":0.0008715297,"domain_scores_codex":[0.9996663,0.0001233947,0.00001322297,0.00005009179,0.00009601353,0.00005090441],"domain_scores_gemma":[0.9993879,0.0002928195,0.00007568202,0.00009736224,0.00007393837,0.00007230132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001303564,0.00001109383,0.0002826721,0.00004852751,0.00001381514,0.00007571932,0.0001374569,0.0696722,0.001456175,0.9199548,0.00137305,0.006961475],"study_design_scores_gemma":[0.000007608886,0.00001195304,0.0001674487,0.000008317512,0.000003225162,0.00004699317,0.00003191483,0.1357961,0.000197455,0.8604885,0.003233441,0.000007042823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1617311,0.003392219,0.7576637,0.004461369,0.000185978,0.00009866739,0.0001643816,0.0003894793,0.07191317],"genre_scores_gemma":[0.9589443,0.001138789,0.03377557,0.000221835,0.0001569241,0.0001592946,0.00008716161,0.00004341464,0.005472561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001120282,"threshold_uncertainty_score":0.005452812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307492922920506,"score_gpt":0.2348006296287275,"score_spread":0.2117257003995224,"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."}}