{"id":"W2136712551","doi":"10.1109/iwcmc.2011.5982686","title":"Optimal antenna placement in multi-hop wireless networks with heterogeneous antennas","year":2011,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Smart antenna; Beamforming; Directional antenna; Computer network; Wireless network; Reconfigurable antenna; Wireless; Distributed computing; Antenna (radio); Omnidirectional antenna; Telecommunications","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":[0.001130302,0.001105235,0.001082799,0.0007574478,0.0007090336,0.0008930933,0.0008222719,0.0009280992,0.00100096],"category_scores_gemma":[0.003148729,0.0007969957,0.0004576408,0.001256454,0.0009947338,0.00128053,0.0009190745,0.0005976682,0.0003385911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018671,"about_ca_system_score_gemma":0.0005009911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924559,"about_ca_topic_score_gemma":0.002310336,"domain_scores_codex":[0.9991443,0.0005233361,0.00002464048,0.0000927374,0.0001113177,0.0001035276],"domain_scores_gemma":[0.9987839,0.0008244112,0.0001435315,0.00009511629,0.00008084232,0.00007228857],"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":[0.00004046272,0.00001490913,0.0001902878,0.00002266377,0.000009632228,0.00004260888,0.00001600117,0.9844421,0.0008209748,0.003297859,0.0003305274,0.01077193],"study_design_scores_gemma":[0.00001083928,0.00002471543,0.0000766608,0.000003424609,0.000004912075,0.00001962412,0.00002554187,0.9938222,0.0004574623,0.005311831,0.0002385049,0.000004293526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0486982,0.0006216504,0.9473231,0.0002220142,0.00004436712,0.00005396808,0.00005291511,0.0002375468,0.002746174],"genre_scores_gemma":[0.7442714,0.000589437,0.2527671,0.00007413095,0.00003894653,0.0001149104,0.0000997207,0.0000726412,0.001971728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001924559,"threshold_uncertainty_score":0.007391036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271558600351729,"score_gpt":0.2314356918230866,"score_spread":0.2042798317879137,"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."}}