{"id":"W2135723563","doi":"10.1109/glocom.2007.538","title":"Improved Coarse Timing For Burst Mode OFDM","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Estimator; Orthogonal frequency-division multiplexing; Burst mode (computing); Computer science; Frame (networking); Algorithm; Detector; Maximum a posteriori estimation; Network packet; Minimum-variance unbiased estimator; Variance (accounting); SIGNAL (programming language); Mode (computer interface); Power (physics); Maximum likelihood; Mathematics; Statistics; Telecommunications","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":[0.0006088379,0.0004600789,0.0005300001,0.0005779763,0.0002867494,0.0005612645,0.0004917036,0.0004424662,0.00110114],"category_scores_gemma":[0.003567929,0.0002770461,0.0001773706,0.0004336507,0.0003074765,0.0009371767,0.0006664476,0.0007370524,0.0004051155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003268743,"about_ca_system_score_gemma":0.0005258567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007243237,"about_ca_topic_score_gemma":0.001022016,"domain_scores_codex":[0.9995911,0.00008722188,0.00002346468,0.00006262735,0.0002025173,0.00003309041],"domain_scores_gemma":[0.9988548,0.0005261177,0.00015365,0.0002153659,0.0002148045,0.00003537262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001118376,0.0000806725,0.003207086,0.0002451511,0.00005663151,0.0001904211,0.0002693922,0.1279718,0.1937581,0.03025648,0.001699244,0.6411467],"study_design_scores_gemma":[0.00006903251,0.0004031947,0.00220165,0.00003454153,0.00004784562,0.000344772,0.00003043997,0.8944572,0.08579712,0.008803114,0.007756765,0.00005435332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0150601,0.0002168516,0.9839888,0.00003282861,0.0000368663,0.00001484598,0.00002601424,0.0002625324,0.0003611482],"genre_scores_gemma":[0.4536613,0.0003843416,0.5435398,0.0000753065,0.000107342,0.00005023613,0.00014592,0.00008163723,0.001954084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00110114,"threshold_uncertainty_score":0.003683686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275261878286051,"score_gpt":0.303880247018435,"score_spread":0.2811276282355745,"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."}}