{"id":"W2081315518","doi":"10.1049/el:20031178","title":"Channel aware frequency hopping multiple access scheme","year":2003,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Frequency-hopping spread spectrum; Channel (broadcasting); Computer science; Transmitter; Code division multiple access; Scheme (mathematics); Electronic engineering; Computer network; Transmission (telecommunications); Telecommunications; Mathematics; 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":[0.0001690994,0.0002867059,0.0004720728,0.0004293321,0.0006002174,0.0005251307,0.0006288443,0.0005804946,0.002245279],"category_scores_gemma":[0.0004306601,0.0001321908,0.0002132333,0.0003240862,0.0003067363,0.0007038688,0.0006567661,0.0006465282,0.0005561416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182472,"about_ca_system_score_gemma":0.000381987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003118835,"about_ca_topic_score_gemma":0.0005937729,"domain_scores_codex":[0.9997446,0.00003742726,0.00001118744,0.00004418529,0.00008448603,0.00007804067],"domain_scores_gemma":[0.9996152,0.00008228351,0.00004573316,0.00009589725,0.000115113,0.00004571481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004878018,0.0001753581,0.001380612,0.000300597,0.00008485548,0.0009182502,0.0002180187,0.0279149,0.4675738,0.07055443,0.006877543,0.4235138],"study_design_scores_gemma":[0.0001785396,0.001171893,0.003623453,0.00005453596,0.0002337632,0.005548966,0.0001539689,0.6007534,0.2675713,0.03244556,0.08796591,0.0002988175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09411543,0.001638946,0.8853042,0.000329822,0.0004052786,0.0001981604,0.0001710447,0.00184837,0.01598868],"genre_scores_gemma":[0.8920727,0.0006586748,0.09796067,0.0002202555,0.0002142254,0.00009274025,0.0001403671,0.00001866657,0.008621645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002245279,"threshold_uncertainty_score":0.007511199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476177175300456,"score_gpt":0.243936465467706,"score_spread":0.2291746937147015,"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."}}