{"id":"W2129817040","doi":"10.1109/wcnc.2004.1311573","title":"Interference and error probability evaluation in multiservice interference limited wireless ad hoc networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wireless ad hoc network; Node (physics); Computer science; Computer network; Interference (communication); Wireless network; Mobile ad hoc network; Network packet; Stochastic geometry models of wireless networks; Wireless; Optimized Link State Routing Protocol; Channel (broadcasting); Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00516521,0.0009685677,0.0008874519,0.00200418,0.0004869201,0.001531429,0.001716059,0.00115395,0.0009339685],"category_scores_gemma":[0.03355582,0.0004655238,0.0004531501,0.001443053,0.001822316,0.002590782,0.001272935,0.0008770048,0.0001928693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163572,"about_ca_system_score_gemma":0.0006214449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773507,"about_ca_topic_score_gemma":0.0008048107,"domain_scores_codex":[0.9959834,0.001736102,0.0001840874,0.0002438346,0.001589992,0.0002626149],"domain_scores_gemma":[0.9793541,0.01713917,0.001335336,0.0006173525,0.001368008,0.000185948],"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":[0.00006287041,0.00003035817,0.001182653,0.00007585747,0.0000267786,0.0002265174,0.00007718487,0.9562372,0.001372026,0.03081508,0.0001568551,0.009736606],"study_design_scores_gemma":[0.000003416692,0.0000219447,0.000208143,0.000008731654,0.000006240226,0.0001076524,0.00001865869,0.9920477,0.0005552054,0.00686716,0.0001475501,0.000007429409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04451224,0.001229049,0.9512733,0.0001822386,0.00002747998,0.0000414743,0.00002615268,0.0001623825,0.002545712],"genre_scores_gemma":[0.9300855,0.001174871,0.06690468,0.00008409067,0.0000705561,0.00008580041,0.00004159821,0.00005930945,0.001493643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00516521,"threshold_uncertainty_score":0.02731651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771032121109653,"score_gpt":0.2746970777838204,"score_spread":0.2369867565727239,"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."}}