{"id":"W1520059214","doi":"10.1109/itsc.2003.1252742","title":"A robust chaotic spread spectrum inter-vehicle communication scheme for ITS","year":2004,"lang":"en","type":"article","venue":"","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Spread spectrum; Chaotic; Computer science; Multipath propagation; Demodulation; Synchronization (alternating current); Fading; Communications system; Direct-sequence spread spectrum; Ergodic theory; Electronic engineering; Frequency-hopping spread spectrum; Telecommunications; Engineering; Code division multiple access; Mathematics; Decoding methods; Channel (broadcasting); Artificial intelligence","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":[0.0002781275,0.0002627068,0.0003149435,0.0002452556,0.0003226481,0.0003693869,0.0007957811,0.0005046408,0.001314879],"category_scores_gemma":[0.0006116821,0.00008682028,0.0002157099,0.0002301077,0.0003436361,0.0005611732,0.0004218796,0.0004068493,0.000389139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000310622,"about_ca_system_score_gemma":0.0003183545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003644511,"about_ca_topic_score_gemma":0.0005020622,"domain_scores_codex":[0.9997538,0.00004996287,0.00001769103,0.0000513478,0.0001004946,0.00002684718],"domain_scores_gemma":[0.9997374,0.0000425346,0.00004835949,0.00007093324,0.00007760297,0.00002308428],"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":[0.0005060341,0.0001302527,0.001313506,0.0004255047,0.0001456469,0.0005977318,0.0002913,0.1462696,0.4424864,0.120566,0.003539466,0.2837286],"study_design_scores_gemma":[0.00008999198,0.0008964541,0.001054266,0.00004455139,0.0001035556,0.001033466,0.00006676478,0.8292484,0.1220271,0.0108553,0.03450311,0.00007714848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06345704,0.0007674675,0.9270321,0.0002085024,0.0001948045,0.0001233682,0.0000660525,0.0005213011,0.007629281],"genre_scores_gemma":[0.8900468,0.0002598215,0.105214,0.00007779281,0.00005368069,0.00007631246,0.00009412302,0.00001825396,0.004159302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001314879,"threshold_uncertainty_score":0.004398704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172505594662318,"score_gpt":0.235827551749901,"score_spread":0.2141024958032778,"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."}}