{"id":"W24226940","doi":"10.1007/bf00232858","title":"Channel Estimation in OFDM Systems for Terrestrial Broadcasting","year":2001,"lang":"en","type":"article","venue":"Plant Cell Reports","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Orthogonal frequency-division multiplexing; Channel (broadcasting); Broadcasting (networking); Telecommunications; Estimation; Real-time computing; 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":[0.0005073236,0.0003544494,0.000309613,0.0005098578,0.0004080875,0.0005434616,0.0002230322,0.0004449861,0.002059739],"category_scores_gemma":[0.002065855,0.0001616125,0.0001263804,0.0004334774,0.0002946839,0.0005827133,0.0002706241,0.0003146542,0.0005539041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825131,"about_ca_system_score_gemma":0.0005335247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726652,"about_ca_topic_score_gemma":0.006511805,"domain_scores_codex":[0.9997393,0.00008476411,0.00000809725,0.00003889876,0.00006595193,0.00006296839],"domain_scores_gemma":[0.9993635,0.0004406779,0.00004019903,0.00004460117,0.00009034188,0.00002077972],"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":[0.001163005,0.0001899506,0.01751543,0.000329822,0.0001138347,0.0007711899,0.0003138037,0.218073,0.1399054,0.01430441,0.003611497,0.6037087],"study_design_scores_gemma":[0.0000873074,0.0004417198,0.01343424,0.00006376286,0.00009288782,0.0007634556,0.000224925,0.9119458,0.05951147,0.006994834,0.006388145,0.00005146359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2618308,0.001888645,0.7280811,0.0004597494,0.00008397073,0.00007836641,0.0002721425,0.001099308,0.006205945],"genre_scores_gemma":[0.8420262,0.001127681,0.1533911,0.00008344573,0.00009567337,0.0000765741,0.0002844596,0.000039333,0.002875644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002726652,"threshold_uncertainty_score":0.006890476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376158298745561,"score_gpt":0.2473022947174325,"score_spread":0.2235407117299769,"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."}}