{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005888349,0.001344707,0.0007866488,0.0017825,0.0007978692,0.003036956,0.001607531,0.001610257,0.007448327],"category_scores_gemma":[0.001710665,0.0008266408,0.0006571299,0.004419058,0.00198514,0.008106959,0.001448215,0.002189529,0.004607243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008104776,"about_ca_system_score_gemma":0.0005016718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006813867,"about_ca_topic_score_gemma":0.0007044312,"domain_scores_codex":[0.9993531,0.0001639444,0.00003813853,0.00009158997,0.0003139367,0.00003929064],"domain_scores_gemma":[0.99941,0.0003657607,0.00002895933,0.0001007095,0.00006863388,0.00002596383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002795105,0.00005363451,0.0001441915,0.001068095,0.0000327268,0.0002339603,0.0004450978,0.01232229,0.001531885,0.5711898,0.04657526,0.3663751],"study_design_scores_gemma":[0.0000152902,0.00006980023,0.0001716569,0.0004085595,0.00003484014,0.0009515449,0.0001183479,0.02013719,0.0009417205,0.2929855,0.6841279,0.00003770021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002694991,0.184811,0.6383508,0.002325123,0.003814381,0.0002140265,0.000134361,0.00151175,0.1661435],"genre_scores_gemma":[0.06366765,0.3270812,0.4549539,0.002158099,0.005165252,0.0006178058,0.0005660709,0.0006077347,0.1451824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007448327,"threshold_uncertainty_score":0.02491713,"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."}}