{"id":"W1982013992","doi":"10.4108/chinacom.2010.126","title":"A low complexity time domain spectrum sensing technique for OFDM","year":2010,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Cognitive radio; Computer science; Fast Fourier transform; Time domain; Frequency domain; Simple (philosophy); Electronic engineering; Computational complexity theory; Spectrum (functional analysis); Telecommunications; Real-time computing; Algorithm; Wireless; Engineering; Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004865047,0.0001784255,0.0002247846,0.0001007888,0.0002628985,0.0002197783,0.0003461058,0.00009473744,0.00006006073],"category_scores_gemma":[0.00003267248,0.0001630115,0.0001241207,0.0002912721,0.0001149425,0.0002180615,0.000152442,0.0002718366,0.00004814285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003153327,"about_ca_system_score_gemma":0.0000550976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000339118,"about_ca_topic_score_gemma":0.0002849074,"domain_scores_codex":[0.9986619,0.00004007874,0.0002081932,0.0004552469,0.0001622715,0.0004723193],"domain_scores_gemma":[0.999037,0.000200574,0.00006971096,0.0004978076,0.00007375632,0.0001211703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002269184,0.00009550391,0.00002588313,0.00001861136,0.00002231029,0.00003873309,0.0001778399,0.00001368741,0.3151131,0.6135797,0.002750327,0.06814162],"study_design_scores_gemma":[0.0007196382,0.0001879367,0.0006016869,0.00005628119,0.000009329862,0.0005514745,0.00001316889,0.3892174,0.2772795,0.3253036,0.005365009,0.0006949606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01604831,0.000006370055,0.9679139,0.002737917,0.0003044188,0.0005514798,0.000003439357,0.0003469536,0.01208725],"genre_scores_gemma":[0.4615535,9.044164e-7,0.5374624,0.0004340012,0.0003060193,0.000004077578,0.000003185414,0.00001485497,0.0002209862],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4455052,"threshold_uncertainty_score":0.6647415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013551063284077,"score_gpt":0.2400209471666497,"score_spread":0.2264698838825726,"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."}}