{"id":"W2461887739","doi":"10.1109/tsp.2017.2649486","title":"Cross-Layer Design for Downlink Multihop Cloud Radio Access Networks With Network Coding","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Radio access network; Telecommunications link; Multicast; Linear network coding; Beamforming; Unicast; Cloud computing; Base station; Telecommunications; Network packet","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"],"consensus_categories":[],"category_scores_codex":[0.0008295738,0.0003230351,0.0003199319,0.00009967759,0.005349901,0.003569535,0.002410093,0.0001364763,0.00003091351],"category_scores_gemma":[0.00001099496,0.0002802953,0.0001201826,0.0003559427,0.0002137657,0.002269275,0.00002558257,0.0005192513,0.000006679083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009610526,"about_ca_system_score_gemma":0.0001923606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005090744,"about_ca_topic_score_gemma":0.00003097264,"domain_scores_codex":[0.9979761,0.0001424928,0.0003834268,0.0006251604,0.0002801217,0.0005926971],"domain_scores_gemma":[0.9975948,0.0004504528,0.0003626717,0.001009364,0.0004127428,0.0001700054],"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":[0.0001634401,0.00006853928,0.00006684786,0.00002063318,0.00003786379,0.000003737738,0.000207073,0.6939834,0.0001932459,0.0002210756,0.0001604505,0.3048737],"study_design_scores_gemma":[0.00123364,0.0001632564,0.00026575,0.00035757,0.00003199896,0.00001587275,0.00000754934,0.9913747,0.005071041,0.0001596354,0.0008960248,0.0004229803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006143514,0.0003649578,0.9967548,0.0005225438,0.0005479205,0.0006169464,0.000002419209,0.0002685164,0.000307553],"genre_scores_gemma":[0.9238352,0.0001841253,0.07467005,0.0003816221,0.0004019933,0.0001845345,0.000001585904,0.00003857003,0.0003023267],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9232208,"threshold_uncertainty_score":0.9999649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085573153800559,"score_gpt":0.3545309885053992,"score_spread":0.2459736731253433,"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."}}