{"id":"W1663798946","doi":"10.1023/a:1008814125361","title":"Co-Channel and Adjacent Channel Interference in Wireless Cellular Communications","year":2000,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001967747,0.0002115228,0.0002842272,0.0001288991,0.0004782354,0.00008632361,0.001211985,0.00005409356,0.0003579103],"category_scores_gemma":[0.000002253414,0.0002279522,0.00009834669,0.0003425684,0.000400515,0.0001198768,0.0002126837,0.0004767624,0.00007358337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004172928,"about_ca_system_score_gemma":0.00005098878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534482,"about_ca_topic_score_gemma":0.0002881387,"domain_scores_codex":[0.9987052,0.0002185434,0.0003365929,0.0002849749,0.0001292955,0.0003254129],"domain_scores_gemma":[0.998016,0.0001795023,0.00008705,0.001539795,0.00005882268,0.0001188373],"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":[0.0002148281,0.008413186,0.1028749,0.0002317629,0.001327282,0.00001145584,0.06582136,0.0002883857,0.06414225,0.1091479,0.002997502,0.6445292],"study_design_scores_gemma":[0.004333238,0.0004273204,0.03077281,0.001294645,0.0004438501,0.00002569506,0.01861471,0.9169958,0.006165931,0.008869567,0.009074303,0.002982105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746031,0.0009753651,0.001024268,0.005519739,0.00001681385,0.0002064857,0.00009166096,0.00005728084,0.01750529],"genre_scores_gemma":[0.9971687,0.0009658274,0.0002537215,0.0001247392,0.00003858141,0.0001477757,0.0002995416,0.00002366575,0.0009774802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9167075,"threshold_uncertainty_score":0.9295622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424160274542582,"score_gpt":0.2710800637485848,"score_spread":0.246838461003159,"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."}}