{"id":"W2079455085","doi":"10.1155/2012/735080","title":"Diversity Gain through Antenna Blocking","year":2012,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Diversity gain; Blocking (statistics); Antenna (radio); Antenna diversity; Antenna gain; Multipath propagation; Counterintuitive; Diversity scheme; Radiation pattern; Computer science; Process gain; Electronic engineering; Diversity combining; Acoustics; Telecommunications; Antenna aperture; Engineering; Physics; Fading; Spread spectrum; Computer network; Code division multiple access; Channel (broadcasting)","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":[0.0002745498,0.0000853264,0.0001262044,0.0001179603,0.0001066793,0.00003342127,0.0001361225,0.00003802438,0.00003465897],"category_scores_gemma":[0.00003140122,0.00007019037,0.0000790314,0.00008030894,0.00003074723,0.0007022541,0.00007265279,0.0001217114,0.000004609093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004115625,"about_ca_system_score_gemma":0.000006840384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001101643,"about_ca_topic_score_gemma":0.000001185194,"domain_scores_codex":[0.9992821,0.0000209335,0.0002436979,0.00004871432,0.0002763772,0.000128234],"domain_scores_gemma":[0.9995482,0.00002606058,0.0001153322,0.0000395998,0.000208567,0.00006224411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003924183,0.0003978063,0.4662983,0.0001298055,0.002592621,0.000241362,0.02303689,0.0006630143,0.4484105,0.008200029,0.00166648,0.04797072],"study_design_scores_gemma":[0.006229376,0.000645905,0.2385474,0.001652937,0.000987331,0.003917313,0.008333894,0.6819839,0.02740661,0.01190491,0.01624364,0.002146716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6241683,0.002114953,0.3716555,0.0004280588,0.001042446,0.00004276318,0.000004374897,0.00003490734,0.0005087024],"genre_scores_gemma":[0.9975054,0.001017725,0.0008071847,0.0001034168,0.000510445,3.272878e-7,0.000002513207,0.000008390821,0.00004464012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.681321,"threshold_uncertainty_score":0.286228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191997263209043,"score_gpt":0.2386703098248972,"score_spread":0.2194705835039929,"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."}}