{"id":"W2110159784","doi":"10.1080/15501320500259159","title":"Progress and Location Based Localized Power Aware Routing for Ad Hoc and Sensor Wireless Networks","year":2006,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Network packet; Routing (electronic design automation); Shortest path problem; Power (physics); Node (physics); Wireless ad hoc network; Path (computing); Algorithm; Mathematical optimization; Wireless; Competitive analysis; Geographic routing; Computer network; Routing protocol; Link-state routing protocol; Theoretical computer science; Telecommunications; Mathematics","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":[0.000650079,0.0003095045,0.0004231038,0.0001480567,0.0001699583,0.0005699627,0.0006959051,0.0002360637,0.000005984419],"category_scores_gemma":[0.00007823978,0.0002882867,0.0001333572,0.0004052249,0.0001650099,0.0004943212,0.0001648894,0.000423468,5.232475e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583356,"about_ca_system_score_gemma":0.00009956631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007699821,"about_ca_topic_score_gemma":0.0000119861,"domain_scores_codex":[0.9974613,0.0001498556,0.0009104575,0.0004348025,0.000570516,0.0004730385],"domain_scores_gemma":[0.996179,0.0005799199,0.0009177751,0.00026658,0.00186156,0.0001951505],"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":[0.0007847415,0.0003072052,0.01254951,0.00003127743,0.0003478365,0.0002747058,0.00008006677,0.894119,0.00005670422,0.005348407,0.005402883,0.08069772],"study_design_scores_gemma":[0.002498473,0.000191778,0.006360268,0.000285444,0.00004336417,0.0003117957,0.00004481867,0.986807,0.00005813229,0.0002463359,0.002853725,0.0002988063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03431773,0.002369166,0.9599833,0.001646442,0.001197272,0.0003628437,0.00004016396,0.00006983685,0.00001321351],"genre_scores_gemma":[0.982168,0.0001378029,0.0164001,0.0002734026,0.0008180442,0.00001834438,0.000135996,0.00003108564,0.00001717905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9478503,"threshold_uncertainty_score":0.9999569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007318975406969059,"score_gpt":0.2427182250995233,"score_spread":0.2353992496925543,"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."}}