{"id":"W1582672103","doi":"10.1109/ictrc.2015.7156411","title":"Differential on-on keying: A robust non-coherent digital modulation scheme","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdulaziz City for Science and Technology","keywords":"Keying; Amplitude and phase-shift keying; Minimum-shift keying; Phase-shift keying; Amplitude-shift keying; Rayleigh fading; On-off keying; Modulation (music); Computer science; Additive white Gaussian noise; SIGNAL (programming language); Algorithm; Electronic engineering; Bit error rate; Mathematics; Fading; Telecommunications; Decoding methods; White noise; Physics; Engineering; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003144763,0.0003661395,0.000462021,0.0003165983,0.0001823203,0.0005072725,0.000718025,0.0004478127,0.0007771442],"category_scores_gemma":[0.0007536943,0.0001087961,0.0001713002,0.0003020462,0.0003811625,0.0007634792,0.0006023154,0.0003435847,0.0002382047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002995075,"about_ca_system_score_gemma":0.0002164792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001341423,"about_ca_topic_score_gemma":0.0001837157,"domain_scores_codex":[0.9995801,0.00009434157,0.00002691734,0.00007012141,0.000163376,0.00006515665],"domain_scores_gemma":[0.9996763,0.00007316033,0.00009768847,0.00006275101,0.00006397183,0.00002600849],"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":[0.001023832,0.0001514771,0.00156238,0.0003511698,0.0000613273,0.000358267,0.0001168849,0.01070289,0.7024201,0.02854547,0.001128405,0.2535779],"study_design_scores_gemma":[0.0002498649,0.002741789,0.00475836,0.00008760978,0.0001852922,0.003747158,0.0001048272,0.2547184,0.6800619,0.01230774,0.04087022,0.0001668308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3628223,0.003594847,0.6167454,0.0007125598,0.0002744576,0.0001967376,0.0001911662,0.0005950958,0.01486748],"genre_scores_gemma":[0.9361789,0.0004687496,0.06050563,0.00013687,0.00007181429,0.00002893105,0.00007541067,0.00001510669,0.002518715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0007771442,"threshold_uncertainty_score":0.002599835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310649380642149,"score_gpt":0.2505211545307096,"score_spread":0.2074146607242881,"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."}}