{"id":"W2950083153","doi":"10.48550/arxiv.1204.3920","title":"Low-Complexity Energy-Efficient Broadcasting in One-Dimensional Wireless Networks","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Broadcasting (networking); Node (physics); Time complexity; Wireless network; Computational complexity theory; Distributed algorithm; Wireless; Transmission (telecommunications); Network topology; Distributed computing; Computer network; Algorithm; Energy consumption; Topology (electrical circuits); Mathematics; Telecommunications; Combinatorics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009137893,0.0004340043,0.000694835,0.0004829572,0.0005132792,0.0007788902,0.0008808035,0.0009168809,0.001213556],"category_scores_gemma":[0.003897103,0.0003921861,0.0003093295,0.0008742595,0.0008917518,0.001496925,0.0007096654,0.0005102594,0.0002350166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008998738,"about_ca_system_score_gemma":0.0005452135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893329,"about_ca_topic_score_gemma":0.001897607,"domain_scores_codex":[0.9993186,0.0003301393,0.00002086919,0.00008657829,0.0001664452,0.00007743357],"domain_scores_gemma":[0.9983971,0.001287184,0.0001192762,0.00008346167,0.00008176576,0.00003121088],"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":[0.00007894906,0.00004278768,0.000347528,0.0001254935,0.00001929571,0.00004996713,0.0001010761,0.9531527,0.002662538,0.02068565,0.0006860715,0.02204788],"study_design_scores_gemma":[0.00001264342,0.00001996227,0.00006961792,0.000002546671,0.000003449341,0.00002082954,0.00002094012,0.9916488,0.0004293787,0.007523804,0.0002446756,0.000003336791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.066128,0.000787625,0.9276975,0.0004353303,0.00003046873,0.00005805846,0.0000468011,0.0002941248,0.004522094],"genre_scores_gemma":[0.7884771,0.0006520021,0.2075904,0.0001035836,0.00005368517,0.0001654165,0.0001093408,0.00005953564,0.002788941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001893329,"threshold_uncertainty_score":0.006529152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07878818494810157,"score_gpt":0.1882656553651874,"score_spread":0.1094774704170858,"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."}}