{"id":"W2146944538","doi":"10.1109/glocom.1997.632570","title":"Fast packet transmission to a receiver with an adaptive antenna array","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Instituto de Telecomunicações","keywords":"Fading; Computer science; Network packet; Algorithm; Electronic engineering; Multipath propagation; Preamble; Antenna array; Antenna (radio); Telecommunications; Computer network; Decoding methods; Engineering; Channel (broadcasting)","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":[0.0006882515,0.0005106691,0.0006231869,0.0002121388,0.0004889691,0.0007748946,0.0006760384,0.001045956,0.001688193],"category_scores_gemma":[0.001666473,0.000266833,0.0005256555,0.0004379558,0.0007851039,0.001364275,0.000678886,0.0006670754,0.0002537455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406911,"about_ca_system_score_gemma":0.000420471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002256027,"about_ca_topic_score_gemma":0.001179071,"domain_scores_codex":[0.9995251,0.0001856236,0.00001442819,0.00005281255,0.0001297142,0.00009231848],"domain_scores_gemma":[0.9991473,0.0005633812,0.00008486722,0.00006631552,0.0001116557,0.00002645916],"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":[0.0004787509,0.00007769511,0.001769216,0.0001169082,0.00007254824,0.0009189032,0.0001297885,0.9304229,0.01829747,0.02946123,0.0006330559,0.01762148],"study_design_scores_gemma":[0.00003645198,0.0001983956,0.0002520339,0.000004088098,0.00002359164,0.0001148449,0.00003247599,0.9927793,0.002971313,0.003241106,0.0003302482,0.00001611571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2617542,0.0004560592,0.7308984,0.0003643098,0.0001020304,0.00008039275,0.00007910721,0.0003098679,0.005955572],"genre_scores_gemma":[0.9298794,0.0004807779,0.06582183,0.00008684563,0.00008892725,0.00007203389,0.00005891212,0.00002531107,0.003486071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002256027,"threshold_uncertainty_score":0.00564754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810910677869974,"score_gpt":0.2700718263070686,"score_spread":0.2219627195283688,"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."}}