{"id":"W2153993559","doi":"10.1109/hicss.2003.1174846","title":"Increasing packet delivery ratio in DSR by link prediction","year":2003,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DSRFLOW; Computer science; Computer network; Network packet; Routing protocol; Latency (audio); Node (physics); Throughput; Source routing; Packet loss; Real-time computing; Dynamic Source Routing; Wireless; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005006826,0.00008810768,0.00009191205,0.0000550674,0.00005239123,0.0001038012,0.0002495105,0.00007430625,0.00005843773],"category_scores_gemma":[0.00005133238,0.00008513773,0.00002249525,0.0003513542,0.00001614402,0.0005486644,0.00005993991,0.0001362631,0.00004293995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000650053,"about_ca_system_score_gemma":0.00004898088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125436,"about_ca_topic_score_gemma":0.00005612062,"domain_scores_codex":[0.9989561,0.0001857399,0.00020039,0.0002780256,0.0001603221,0.0002193922],"domain_scores_gemma":[0.9994153,0.0001129793,0.0000386715,0.0003360078,0.00003263694,0.00006436678],"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":[0.00004241823,0.0004582873,0.1418866,0.00003328381,0.00005179441,0.00008524218,0.0015584,0.01060074,0.01446899,0.3325449,0.15739,0.3408793],"study_design_scores_gemma":[0.001088152,0.0001459205,0.009004782,0.00005588904,0.000005628101,0.00007918286,0.00004506508,0.9331205,0.007695087,0.00433165,0.04400912,0.0004189647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.120979,0.0002272046,0.8572548,0.0002642736,0.0004170573,0.0002003854,0.000001155394,0.0002064397,0.02044963],"genre_scores_gemma":[0.9750134,0.00004291599,0.02401418,0.0004761973,0.00006750155,0.00001669174,0.000004537011,0.000006481962,0.0003580478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9225198,"threshold_uncertainty_score":0.3471816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008313945752097316,"score_gpt":0.2050160309716776,"score_spread":0.1967020852195802,"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."}}