{"id":"W1516712034","doi":"10.1109/iccw.2015.7247153","title":"Adaptive in-band self-backhauling for full-duplex small cells","year":2015,"lang":"en","type":"article","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Macrocell; Backhaul (telecommunications); Telecommunications link; Base station; Computer science; Computer network; Small cell; Wireless network; Radio access network; Scheduling (production processes); Cellular network; Wireless; Radio resource management; Single antenna interference cancellation; Femtocell; Mobile station; Telecommunications; 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":[0.0004284575,0.0002171037,0.0002933228,0.0002036057,0.0003860047,0.0003639511,0.0004454725,0.0002711588,0.001090209],"category_scores_gemma":[0.001189002,0.00009802908,0.0001925324,0.0002282497,0.0004239905,0.000309579,0.0002623981,0.0002449747,0.000122193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005963157,"about_ca_system_score_gemma":0.0004188472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003007052,"about_ca_topic_score_gemma":0.002557654,"domain_scores_codex":[0.9998387,0.00004748311,0.000004728832,0.00001702586,0.00005820893,0.00003386378],"domain_scores_gemma":[0.999384,0.0003371907,0.00006346839,0.0000586728,0.0001197054,0.00003682486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002335266,0.00009696827,0.001839342,0.000084584,0.00003182038,0.0001579207,0.0001401014,0.9043301,0.03521871,0.01333989,0.0005925754,0.04393435],"study_design_scores_gemma":[0.000005437949,0.00004144629,0.0002208165,0.000001456595,0.000002874721,0.00002218524,0.00001051834,0.997107,0.00153747,0.0008658434,0.0001812694,0.000003615918],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3679462,0.0005683895,0.6260505,0.00008218759,0.00006850017,0.00004160531,0.0000350675,0.0002013221,0.00500624],"genre_scores_gemma":[0.9873164,0.00009326841,0.01200905,0.00001617376,0.000007952325,0.00001200316,0.00001030904,0.00000646937,0.000528373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003007052,"threshold_uncertainty_score":0.005979121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516159371451981,"score_gpt":0.2310243510501,"score_spread":0.1794084139049019,"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."}}