{"id":"W1975176633","doi":"10.1109/tvt.2014.2322626","title":"Best Neighbor Communication in a Poisson Field of Nodes","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Western University","funders":"","keywords":"Fading; Fading distribution; Channel state information; Node (physics); Channel (broadcasting); Computer science; Topology (electrical circuits); Poisson distribution; Computer network; Mathematics; Wireless; Telecommunications; Statistics; Engineering; Rayleigh fading; Combinatorics","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":[0.00007871921,0.0001047308,0.0001810341,0.000424842,0.00003343903,0.000003749489,0.0001709518,0.0002554547,0.00001315736],"category_scores_gemma":[0.00001103216,0.0001176866,0.00003646877,0.0004613853,0.00004283493,0.00008255569,0.000001081763,0.0002760551,0.00001706062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005162252,"about_ca_system_score_gemma":0.00000498176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003863156,"about_ca_topic_score_gemma":0.0001618522,"domain_scores_codex":[0.9994155,0.00002830645,0.0002474783,0.0001179884,0.00005641496,0.0001343512],"domain_scores_gemma":[0.9993832,0.0000726103,0.00003893994,0.0004497266,0.00003913154,0.00001642936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008223071,0.00007583197,0.0000962815,0.0000517209,0.00002189788,8.447349e-7,0.00007027345,0.9418126,0.02880423,0.0009901936,0.000008146344,0.02805979],"study_design_scores_gemma":[0.0007033668,0.0001802947,0.00003841838,0.000246038,0.00002860025,0.00001316795,0.0001648946,0.3796696,0.6170465,0.001153082,0.0005281835,0.000227843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08614192,0.0001639781,0.9123626,0.0003028412,0.00009915923,0.0001553498,0.000002942992,0.0002868362,0.0004843762],"genre_scores_gemma":[0.9911808,0.0001489393,0.00852822,0.00002026837,0.000004501936,0.00006682931,0.000001890864,0.00002369357,0.00002485548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9050389,"threshold_uncertainty_score":0.479912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005780534031779689,"score_gpt":0.2251468592338597,"score_spread":0.21936632520208,"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."}}