{"id":"W4402187506","doi":"10.32920/26871397.v1","title":"Efficient Geocast Routing Protocols for Opportunistic Networks","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Memorial University of Newfoundland","funders":"","keywords":"Geocast; Computer network; Computer science; Routing (electronic design automation); Routing protocol; Link-state routing protocol","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":[0.0006118448,0.0003213753,0.0003146026,0.000431734,0.0004319896,0.0006694851,0.0008257866,0.0004084521,0.0009063369],"category_scores_gemma":[0.001583865,0.000150415,0.0002441155,0.0004400709,0.0004730255,0.00101716,0.0008287276,0.0005552124,0.0001496536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008506937,"about_ca_system_score_gemma":0.0009321443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342132,"about_ca_topic_score_gemma":0.003505324,"domain_scores_codex":[0.9997048,0.00005493603,0.00001802561,0.00003530676,0.0001521833,0.00003476903],"domain_scores_gemma":[0.9994253,0.0002408482,0.00009657851,0.0001076663,0.0001062903,0.00002334879],"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":[0.0002330814,0.0001003163,0.0007760638,0.0002213766,0.00005695253,0.0002312881,0.0002318309,0.6120613,0.02695944,0.1823399,0.006792394,0.1699961],"study_design_scores_gemma":[0.00003699181,0.00008177295,0.0002629495,0.00002067613,0.00001928325,0.0001112814,0.00007476428,0.9403892,0.006373524,0.03812561,0.01448819,0.00001588048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04001964,0.0008968852,0.9505019,0.0003328685,0.0001584758,0.0002175384,0.0001376243,0.0004787705,0.007256275],"genre_scores_gemma":[0.80443,0.001270929,0.1873343,0.0001969077,0.00008545816,0.000298297,0.0003525586,0.00004880547,0.005982783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002342132,"threshold_uncertainty_score":0.00617224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06025212895750073,"score_gpt":0.3151469626803658,"score_spread":0.254894833722865,"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."}}