{"id":"W2108479384","doi":"10.1109/glocom.2010.5683907","title":"A Double-Loop Receiver-Initiated Medium Access Control Scheme for Data Dissemination Services with Packet Pre-Downloading","year":2010,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; Upload; Network packet; Overhead (engineering); Local area network; Scheme (mathematics); Dissemination; Access control; The Internet; Internet access; Telecommunications; Operating system","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":[0.0008085642,0.0004789645,0.0004824442,0.0004940557,0.0006177029,0.000639245,0.00137022,0.0005985412,0.0006342696],"category_scores_gemma":[0.001695047,0.000134424,0.0002855705,0.0004402945,0.0004367364,0.000887336,0.000490804,0.0005629046,0.0001632043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004769945,"about_ca_system_score_gemma":0.0006843018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103116,"about_ca_topic_score_gemma":0.000988223,"domain_scores_codex":[0.999486,0.0001299097,0.0000351407,0.0001159539,0.0001794587,0.00005359339],"domain_scores_gemma":[0.9990216,0.0003231454,0.0001470592,0.0001522038,0.0002868151,0.00006916838],"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":[0.0008674689,0.000702057,0.00330987,0.0006221055,0.0001953001,0.001159181,0.0007904739,0.1948714,0.3594205,0.07008695,0.003811862,0.3641629],"study_design_scores_gemma":[0.00006526532,0.0005268583,0.0004374756,0.00001098976,0.00005962844,0.0005278755,0.00003345598,0.9675625,0.02150787,0.002692685,0.006535273,0.00004009732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03844583,0.0004833712,0.9587571,0.0001154258,0.00009000007,0.0001544061,0.00002218931,0.0004834558,0.001448225],"genre_scores_gemma":[0.847258,0.0002664529,0.149883,0.00009531501,0.0001111221,0.0001677214,0.00005054718,0.00001851205,0.002149311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00137022,"threshold_uncertainty_score":0.004276156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05261729146718252,"score_gpt":0.3345663461935929,"score_spread":0.2819490547264104,"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."}}