{"id":"W4206070493","doi":"10.1109/access.2021.3138430","title":"A Robust Receiver Based on Chaos Modulation for the Industrial Internet of Things","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Retransmission; Multipath propagation; Network packet; Real-time computing; Bit error rate; Synchronization (alternating current); Channel (broadcasting); Electronic engineering; Computer network","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":[0.0004594482,0.0003560294,0.000434896,0.0003578562,0.0003124531,0.0003791532,0.0005289884,0.0006121551,0.000563663],"category_scores_gemma":[0.0008808434,0.0001487094,0.0003095985,0.0002925692,0.0002636477,0.0006067965,0.0004145443,0.0005790083,0.0002851705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972296,"about_ca_system_score_gemma":0.0003811509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002680626,"about_ca_topic_score_gemma":0.0003207517,"domain_scores_codex":[0.9996007,0.00008117848,0.00001980482,0.0000622689,0.0002121376,0.00002392438],"domain_scores_gemma":[0.9997277,0.00007604278,0.00006228506,0.00003820201,0.00008504927,0.00001063328],"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":[0.0004423844,0.0001278207,0.003428387,0.0004092021,0.000150576,0.0004807911,0.0002241634,0.05720112,0.6824437,0.03258855,0.00249359,0.2200097],"study_design_scores_gemma":[0.00008778334,0.001081974,0.001607744,0.00005211527,0.0001435767,0.001314025,0.00003293106,0.770042,0.2081591,0.003098778,0.0142734,0.0001065911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03799423,0.001002412,0.9575016,0.0002476132,0.0001658784,0.00005649587,0.00002747542,0.0006344001,0.002369951],"genre_scores_gemma":[0.7469288,0.000676412,0.2481896,0.0002760724,0.0001633401,0.0000764815,0.00008014169,0.00004389727,0.003565309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006121551,"threshold_uncertainty_score":0.002429843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056176431645627,"score_gpt":0.2890034387569906,"score_spread":0.1833857955924278,"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."}}