{"id":"W2157190351","doi":"10.1109/vetec.1994.345051","title":"A hybrid DS/FH spread spectrum system with adaptive channel equalization for a mobile radio channel","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Intersymbol interference; Spread spectrum; Bit error rate; Phase-shift keying; Multipath propagation; Channel (broadcasting); Interference (communication); Electronic engineering; 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":[0.000324089,0.0005725981,0.0005100899,0.0003395743,0.0003021522,0.0005637608,0.0004038949,0.0006204051,0.001834448],"category_scores_gemma":[0.0003988407,0.0001240508,0.0002506122,0.0002043683,0.0004676837,0.0006401611,0.0003154492,0.0002119114,0.0002511339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000366132,"about_ca_system_score_gemma":0.0001563934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215161,"about_ca_topic_score_gemma":0.002786312,"domain_scores_codex":[0.9997795,0.0000709622,0.0000069517,0.0000321859,0.00007251206,0.00003799039],"domain_scores_gemma":[0.9997643,0.0001172915,0.00002721363,0.00002320146,0.00004811081,0.00001988339],"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":[0.003038233,0.0006132768,0.00763329,0.0003433123,0.0003103129,0.001713975,0.0003824715,0.4448342,0.2752681,0.01609353,0.001883121,0.2478862],"study_design_scores_gemma":[0.0001236347,0.00177879,0.001856775,0.000009983455,0.00008383697,0.0005376766,0.00006477776,0.9672391,0.02446146,0.001675535,0.002123699,0.00004461508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6941292,0.0008914584,0.293116,0.0002491085,0.0001167647,0.0001294023,0.0001140774,0.001068291,0.0101857],"genre_scores_gemma":[0.9694354,0.0001993075,0.02679327,0.00005865567,0.00004055345,0.00003720968,0.00004617589,0.000009589202,0.00337978],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002215161,"threshold_uncertainty_score":0.006136835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441513417171095,"score_gpt":0.259142761988748,"score_spread":0.214727627817037,"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."}}