{"id":"W2143722580","doi":"10.1109/ccece.2005.1557402","title":"An algorithm to determine range distance with a frequency hopping spread spectrum system","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Frequency-hopping spread spectrum; Range (aeronautics); Multipath interference; Multipath propagation; Algorithm; Interference (communication); Phase (matter); Integer (computer science); Line (geometry); Mathematics; Computer science; Telecommunications; Statistics; Physics; Geometry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006904983,0.001156174,0.000917157,0.002065896,0.001398285,0.001667097,0.001608898,0.001345566,0.00852406],"category_scores_gemma":[0.002913164,0.0005390474,0.0006247408,0.001263221,0.000504161,0.001826682,0.00160495,0.001188569,0.004907953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000607578,"about_ca_system_score_gemma":0.001698171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00353483,"about_ca_topic_score_gemma":0.003529635,"domain_scores_codex":[0.9992473,0.0001096759,0.00006187614,0.000183532,0.0003128828,0.00008477072],"domain_scores_gemma":[0.9992291,0.0002675136,0.00006993546,0.00009125377,0.0003054708,0.0000368604],"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":[0.0002369854,0.0001381406,0.001600453,0.0001471173,0.00007828554,0.0002041609,0.0001939706,0.09636328,0.01442124,0.01581617,0.008811967,0.8619883],"study_design_scores_gemma":[0.0001622066,0.0001941176,0.0007633924,0.00005212312,0.00005799442,0.0005024862,0.0001562234,0.9464103,0.0129308,0.01937422,0.01933635,0.00005977969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003829468,0.0001212045,0.9918972,0.00008879443,0.0000514715,0.0001603387,0.00008203313,0.001821601,0.001947846],"genre_scores_gemma":[0.03234885,0.0001028478,0.9638886,0.00007221931,0.00002813262,0.000305728,0.0003039534,0.0001144797,0.002835122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00852406,"threshold_uncertainty_score":0.02851582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149295740185321,"score_gpt":0.2527567152409382,"score_spread":0.2378271412224061,"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."}}