{"id":"W2097156126","doi":"10.1109/vtcf.2006.543","title":"Connectivity and Bit Error Rate Analysis of Mobile Ad Hoc Wireless Networks","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer network; Computer science; Wireless ad hoc network; Mobile ad hoc network; Rician fading; Node (physics); Mobility model; Wireless network; Bit error rate; Fading; Wireless; Telecommunications; Network packet; Channel (broadcasting); Engineering","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":[0.0004823523,0.0003010107,0.0007754301,0.0007398812,0.0001325815,0.00008169004,0.001164485,0.0005140026,0.00001619291],"category_scores_gemma":[0.00002264434,0.0002945993,0.0001431556,0.003449834,0.0005994585,0.0002506094,0.0003584458,0.0004555873,0.000005907371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003939477,"about_ca_system_score_gemma":0.00008290784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008108892,"about_ca_topic_score_gemma":0.0005378867,"domain_scores_codex":[0.9977549,0.00015699,0.0004824857,0.000873864,0.000210926,0.0005208901],"domain_scores_gemma":[0.9977671,0.0002002262,0.0003538254,0.001307326,0.0002972955,0.00007424814],"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":[0.00005917862,0.0007505321,0.06778718,0.00008561883,0.002119514,0.0003761676,0.0002573411,0.2316957,0.08284958,0.2502334,0.0005882129,0.3631976],"study_design_scores_gemma":[0.0004015273,0.000184394,0.01373545,0.00003773894,0.0002519278,0.00001860338,0.00002735249,0.9702383,0.01033351,0.003791346,0.0006026008,0.0003772747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5824708,0.001481648,0.4151543,0.0001931373,0.0001184092,0.0002295526,0.000004116526,0.0002839314,0.00006403032],"genre_scores_gemma":[0.9964678,0.0003047403,0.002919183,0.00005884823,0.00002218008,0.0001430516,0.000007469846,0.00001449521,0.00006226106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7385426,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008967757391422646,"score_gpt":0.2265622280391973,"score_spread":0.2175944706477746,"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."}}