{"id":"W2921839503","doi":"10.1088/1755-1315/234/1/012111","title":"QoS-aware Opportunistic Routing with Directional Antennas in Cognitive Radio Sensor Networks","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Beamwidth; Computer science; Computer network; Antenna (radio); Cognitive radio; Quality of service; Wireless; 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":[0.000876636,0.0005244516,0.0004480226,0.0004603765,0.000548772,0.0006495258,0.0009786927,0.0004588289,0.0003145891],"category_scores_gemma":[0.001655208,0.0002460137,0.0003282452,0.000575532,0.0005270909,0.0006938451,0.0007468901,0.0003972918,0.00009705893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527492,"about_ca_system_score_gemma":0.0006875533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557264,"about_ca_topic_score_gemma":0.002692568,"domain_scores_codex":[0.9993463,0.0002811972,0.00002829926,0.00007940985,0.0001523415,0.00011235],"domain_scores_gemma":[0.9991375,0.0004710247,0.0001080138,0.0001247568,0.0001101,0.0000485876],"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":[0.0003919345,0.00011182,0.001794092,0.0001650504,0.0001028851,0.0003979231,0.0002574816,0.7255896,0.0372663,0.06258742,0.002184398,0.1691511],"study_design_scores_gemma":[0.00001291604,0.00008698506,0.0002194245,0.00000707167,0.00001960701,0.0001475997,0.00004561106,0.9834898,0.002373714,0.01177572,0.001806711,0.00001490946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03818402,0.001011386,0.9572886,0.0001644888,0.00009105339,0.00004970161,0.00004018488,0.0002544864,0.002916106],"genre_scores_gemma":[0.9188174,0.0005261764,0.07939658,0.000112757,0.00004946466,0.00006569448,0.00004024023,0.00002248114,0.0009692379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001557264,"threshold_uncertainty_score":0.004636168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339129612209752,"score_gpt":0.2021558658679449,"score_spread":0.1887645697458474,"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."}}