{"id":"W1974718755","doi":"10.1016/j.adhoc.2006.07.001","title":"Non-Euclidian geographic routing in wireless networks","year":2006,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geographic routing; Computer science; Equal-cost multi-path routing; Link-state routing protocol; Static routing; Dynamic Source Routing; Multipath routing; Distributed computing; Computer network; Destination-Sequenced Distance Vector routing; Euclidean distance; Private Network-to-Network Interface; Routing (electronic design automation); Routing protocol; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001044981,0.0005648996,0.0006301751,0.0003009435,0.0003128682,0.0004682935,0.002051204,0.0005230593,0.00002483084],"category_scores_gemma":[0.000008374765,0.0006054668,0.0002571721,0.002424102,0.0001417809,0.0008729638,0.0006994257,0.001207977,0.00005728296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628275,"about_ca_system_score_gemma":0.00007125792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000287828,"about_ca_topic_score_gemma":0.002798805,"domain_scores_codex":[0.9953171,0.0001759442,0.0009680093,0.001244059,0.000471648,0.001823217],"domain_scores_gemma":[0.9974409,0.0003098579,0.0003473599,0.001538731,0.0001006754,0.0002624523],"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":[0.00002115026,0.0001783632,0.04174675,0.000009860481,0.00002843774,0.0002004771,0.0001029262,0.7498703,0.00001153355,0.02099723,0.005761003,0.181072],"study_design_scores_gemma":[0.0008269929,0.00007114203,0.02760139,0.0001559604,0.00001196468,0.00002673958,0.00001114934,0.9664136,0.00001412785,0.0008832788,0.003314751,0.0006688607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07944234,0.004837599,0.9072176,0.0005054692,0.001601648,0.0007671004,0.000001066159,0.0006186669,0.005008512],"genre_scores_gemma":[0.9916074,0.0007358443,0.005067043,0.0007705844,0.00132637,0.0001283832,0.00003320535,0.00007534257,0.0002557912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9121651,"threshold_uncertainty_score":0.9996397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005741519192368321,"score_gpt":0.2058473296310674,"score_spread":0.2001058104386991,"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."}}