{"id":"W2034127391","doi":"10.1109/mobiqw.2006.361788","title":"Randomized 3D Position-based Routing Algorithms for Ad-hoc Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Destination-Sequenced Distance Vector routing; Computer science; Link-state routing protocol; Static routing; Algorithm; Dynamic Source Routing; Equal-cost multi-path routing; Multipath routing; Path vector protocol; Distributed computing; Routing (electronic design automation); Computer network; 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":[0.001086223,0.000865026,0.0008005411,0.0008873534,0.0008623761,0.001293266,0.001579467,0.0008968948,0.002494794],"category_scores_gemma":[0.004116248,0.0004359619,0.0006580728,0.00117159,0.0006432253,0.001760675,0.001320772,0.0009739993,0.0009595942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009142007,"about_ca_system_score_gemma":0.001167275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003280453,"about_ca_topic_score_gemma":0.004725962,"domain_scores_codex":[0.9988424,0.0004096444,0.00007181319,0.0001705852,0.0004369217,0.00006868],"domain_scores_gemma":[0.9983867,0.0006490838,0.000184355,0.0004091519,0.0003262752,0.00004448637],"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":[0.0002325905,0.00007308105,0.0009426106,0.0001451267,0.00008359724,0.00008609165,0.0001161523,0.6078496,0.006528902,0.0584777,0.006095434,0.3193692],"study_design_scores_gemma":[0.00005294047,0.00008339895,0.0001869874,0.0000151459,0.00002523061,0.0001186764,0.00002636843,0.9680393,0.003044996,0.02012461,0.008251416,0.000030928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004355317,0.0003935721,0.9928206,0.000145786,0.0000939323,0.00004907071,0.00004702874,0.0008459661,0.001248763],"genre_scores_gemma":[0.1567491,0.0008103005,0.8387099,0.0001801436,0.00008212061,0.0003015061,0.0003364695,0.0001384218,0.00269206],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003280453,"threshold_uncertainty_score":0.008345902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018521463604587,"score_gpt":0.2379718476403746,"score_spread":0.2277866330043287,"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."}}