{"id":"W82089562","doi":"10.1201/9781420035094.ch8","title":"Routing and Traversal via Location Awareness in Ad Hoc Networks","year":2005,"lang":"en","type":"book-chapter","venue":"Chapman & Hall/CRC computer and information science series","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Tree traversal; Computer science; Computer network; Routing (electronic design automation); Mobile ad hoc network; Wireless ad hoc network; Telecommunications; Algorithm; Wireless; Network packet","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.000973266,0.0004606066,0.0004526631,0.000651658,0.0005155891,0.001323605,0.001059467,0.0002730904,0.00001284821],"category_scores_gemma":[0.00001202314,0.0004621233,0.00005116302,0.0004712967,0.0007330383,0.01539895,0.0009826376,0.0004588226,0.00002302309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625124,"about_ca_system_score_gemma":0.0002653995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000144563,"about_ca_topic_score_gemma":0.00008739174,"domain_scores_codex":[0.997242,0.00002300624,0.0008381896,0.0006695744,0.0006652111,0.0005620342],"domain_scores_gemma":[0.9982305,0.0000715636,0.0004682352,0.000623896,0.0003710091,0.0002348331],"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":[0.00001292935,0.000009263119,0.00004809389,0.00005662197,0.000008078237,0.000004211935,0.004318832,0.007777487,0.000001488804,0.2755185,0.0000758418,0.7121687],"study_design_scores_gemma":[0.000446685,0.00022184,0.003495054,0.0003407242,0.000008130813,0.0001503464,0.00006588247,0.9495429,0.00001172854,0.002447088,0.04258331,0.000686347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000674087,0.001182326,0.9713952,0.0004043724,0.0009923334,0.0005700024,0.000003358844,0.0002113353,0.02456698],"genre_scores_gemma":[0.8978466,0.01314501,0.07533078,0.004358445,0.001769104,0.00007695962,0.000180749,0.00009836306,0.007194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9417654,"threshold_uncertainty_score":0.999783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015939238945964,"score_gpt":0.213522027969081,"score_spread":0.2033626355796214,"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."}}