{"id":"W2951120500","doi":"10.48550/arxiv.1407.5495","title":"Uplink Contention Based SCMA for 5G Radio Access","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Latency (audio); Network packet; Overhead (engineering); Low latency (capital markets); 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":[0.0006483235,0.0004060916,0.0003907186,0.0005492195,0.0006991316,0.000735976,0.0007661613,0.0004645811,0.001660625],"category_scores_gemma":[0.002282815,0.0001424397,0.0002885283,0.0006807746,0.0005155673,0.0004713096,0.0005442747,0.0008447796,0.000317121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008613319,"about_ca_system_score_gemma":0.001123974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003193711,"about_ca_topic_score_gemma":0.004894332,"domain_scores_codex":[0.9993035,0.0001603369,0.00002712966,0.00007080771,0.0003478447,0.00009042816],"domain_scores_gemma":[0.9983944,0.000645682,0.0001467766,0.0001854952,0.0005731825,0.0000544324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006510487,0.0002641676,0.004155071,0.0005501276,0.0001665085,0.0008271169,0.0003555791,0.3506818,0.1411375,0.1119977,0.008377256,0.3808362],"study_design_scores_gemma":[0.00003158643,0.0002018368,0.000379769,0.0000264184,0.00004546517,0.0002632648,0.00003536572,0.9752366,0.01142595,0.006146972,0.006186345,0.00002047611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04361772,0.0025895,0.9450732,0.0003490462,0.0002555691,0.000148012,0.00005135774,0.000581916,0.00733358],"genre_scores_gemma":[0.89793,0.0009865219,0.09772606,0.0001723567,0.0001808591,0.0001314649,0.00007120613,0.00002662383,0.002774901],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003193711,"threshold_uncertainty_score":0.006350219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112171228818892,"score_gpt":0.2129087303188777,"score_spread":0.1007375014999857,"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."}}