{"id":"W2033853401","doi":"10.1109/tetc.2014.2373052","title":"AFDA: Asynchronous Flipped Diversity ALOHA for Emerging Wireless Networks With Long and Heterogeneous Delay","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Handshaking; Computer network; Aloha; Network packet; Asynchronous communication; Throughput; Transmission (telecommunications); Propagation delay; Diversity gain; Time diversity; Fading; PHY; Transmission delay; Channel (broadcasting); Wireless; Telecommunications; Physical layer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005702953,0.0005044679,0.0003139605,0.0005400896,0.0006052906,0.0006571856,0.001200508,0.0004496194,0.0009710083],"category_scores_gemma":[0.001177199,0.0001239622,0.0002678534,0.0004164632,0.0004691826,0.0008545886,0.0006333303,0.0005506588,0.0002798804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497639,"about_ca_system_score_gemma":0.0005164637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007998393,"about_ca_topic_score_gemma":0.001103869,"domain_scores_codex":[0.9996941,0.0000959008,0.00001607258,0.00005395979,0.00009715792,0.0000428843],"domain_scores_gemma":[0.999436,0.0002417859,0.00007611838,0.00007116767,0.0001463933,0.00002847783],"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":[0.0006001773,0.000150009,0.0019326,0.0004829166,0.0001089956,0.0007275702,0.0003269059,0.3547076,0.1132787,0.06304212,0.004268785,0.4603736],"study_design_scores_gemma":[0.00007058778,0.000452805,0.0003265979,0.00003002623,0.00003745301,0.000487539,0.00006955323,0.9562742,0.01559075,0.01713278,0.009486725,0.00004099948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02570614,0.0009070796,0.9704039,0.0001299907,0.0001340628,0.0000740485,0.00004664719,0.0004851047,0.002113146],"genre_scores_gemma":[0.8150297,0.0007951785,0.1808386,0.0001937742,0.0001257392,0.000167322,0.00008202688,0.00002977752,0.002738057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001200508,"threshold_uncertainty_score":0.003263295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133814873752885,"score_gpt":0.2211280455571478,"score_spread":0.2077465581818593,"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."}}