{"id":"W4402834416","doi":"10.1109/vtc2024-spring62846.2024.10683565","title":"Performance Evaluation and Low-Complexity Detection of the PHY Modulation of LR-FHSS Transmission in IoT Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"PHY; Computer science; Transmission (telecommunications); Computer network; Modulation (music); Spread spectrum; Telecommunications; Electronic engineering; Physical layer; Channel (broadcasting); Wireless; Engineering; Physics","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":[0.001289571,0.0006062062,0.0004023107,0.0003303895,0.0002974873,0.0005272791,0.0004843608,0.0006749575,0.0006812841],"category_scores_gemma":[0.004850294,0.0001486498,0.0002323323,0.0003113277,0.0005127222,0.0007520592,0.0003962432,0.0003750934,0.0001301633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009224771,"about_ca_system_score_gemma":0.0004467533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002141027,"about_ca_topic_score_gemma":0.001796814,"domain_scores_codex":[0.9988555,0.0005500698,0.00003449092,0.00007801098,0.0003763188,0.0001056222],"domain_scores_gemma":[0.9966035,0.002542907,0.0002617552,0.000161462,0.0003999471,0.00003045126],"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":[0.0006554465,0.0002073981,0.01104376,0.0002363883,0.00007778221,0.0002559789,0.0001511438,0.8988568,0.0404806,0.006602021,0.0003872931,0.0410453],"study_design_scores_gemma":[0.00001569582,0.0002631415,0.001764667,0.00001149115,0.00001716443,0.0000991693,0.00002206099,0.9830229,0.01424466,0.0003207843,0.0002071989,0.00001114786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7850807,0.001155426,0.2030126,0.0003772491,0.00004596587,0.00008703901,0.00009457713,0.0003887641,0.009757594],"genre_scores_gemma":[0.9900712,0.0001329591,0.009421968,0.00001971045,0.000007092415,0.00001172581,0.00002204061,0.00001020624,0.0003030447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002141027,"threshold_uncertainty_score":0.006820023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995935991895074,"score_gpt":0.247890340643117,"score_spread":0.2279309807241663,"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."}}