{"id":"W2748829893","doi":"10.1109/mwc.2017.1700082","title":"Cooperation in 5G HetNets: Advanced Spectrum Access and D2D Assisted Communications","year":2017,"lang":"en","type":"preprint","venue":"IEEE Wireless Communications","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Computer science; Computer network; Wireless; Heterogeneous network; Quality of service; Spectrum management; Wireless network; Telecommunications; Context (archaeology)","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006112335,0.0008340023,0.00107666,0.0007118752,0.001480312,0.00115384,0.01395312,0.0007894056,0.00002502703],"category_scores_gemma":[0.0001438373,0.001049223,0.0001961726,0.0005520766,0.001243203,0.001038332,0.006066497,0.003552064,0.00005700447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006891139,"about_ca_system_score_gemma":0.0003381596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062694,"about_ca_topic_score_gemma":0.02531409,"domain_scores_codex":[0.9961351,0.0006623057,0.001441388,0.0007323105,0.0003498869,0.0006789797],"domain_scores_gemma":[0.9760711,0.0008686268,0.0005899849,0.0219069,0.0003097119,0.0002537293],"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":[0.00007466609,0.002317505,0.005975822,0.0016281,0.001094293,0.00001797543,0.005936419,0.7911442,0.01401148,0.03256715,0.003473816,0.1417586],"study_design_scores_gemma":[0.001158654,0.0000241384,0.02082078,0.00144448,0.0001296373,0.00002589819,0.0001651632,0.9613515,0.0008825145,0.001025771,0.01155104,0.001420484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588338,0.04366249,0.01059651,0.02873422,0.00277161,0.007194601,0.00171112,0.004143766,0.04235191],"genre_scores_gemma":[0.9245962,0.06373252,0.007296786,0.00009400042,0.00006713657,0.002156136,0.001666682,0.0002175805,0.0001729713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702073,"threshold_uncertainty_score":0.9998831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07082259694913412,"score_gpt":0.3367603490236913,"score_spread":0.2659377520745572,"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."}}