{"id":"W1542482588","doi":"10.1002/9780470724347.ch11","title":"Antenna Selection for MIMO Systems","year":2007,"lang":"en","type":"other","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Selection (genetic algorithm); Antenna (radio); Computer science; Electronic engineering; 3G MIMO; Block code; Telecommunications; MIMO; Channel (broadcasting); Engineering; Decoding methods; Artificial intelligence","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":[0.0003288955,0.0008999676,0.0005214842,0.0004579873,0.0003865477,0.001336097,0.0004689667,0.0006692943,0.01340532],"category_scores_gemma":[0.0009122464,0.0003493135,0.0003478909,0.00117376,0.0005409968,0.0009667353,0.0004859665,0.001069499,0.005757598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006578094,"about_ca_system_score_gemma":0.0003000403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004489826,"about_ca_topic_score_gemma":0.0005968949,"domain_scores_codex":[0.9995862,0.0001284826,0.00001127706,0.0000676186,0.0001726855,0.00003370157],"domain_scores_gemma":[0.9996743,0.0001509342,0.0000185503,0.0000646663,0.00008463524,0.000006900725],"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":[0.0001206546,0.0000435724,0.0005972591,0.0004128928,0.00006871316,0.0001599673,0.0001525817,0.1148973,0.02902432,0.4155877,0.05639737,0.3825377],"study_design_scores_gemma":[0.00003980617,0.0002068991,0.001420987,0.0002620808,0.00007374515,0.001083595,0.0001391265,0.4419605,0.02314557,0.2742315,0.2573376,0.00009857506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006547493,0.01636728,0.8575255,0.001248972,0.001202516,0.00005519302,0.0003481161,0.0009291891,0.1157758],"genre_scores_gemma":[0.4360852,0.03778503,0.2849238,0.001575507,0.003492173,0.0003364132,0.001488845,0.0006868815,0.2336261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01340532,"threshold_uncertainty_score":0.04484528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179428298540989,"score_gpt":0.2199440289440886,"score_spread":0.2081497459586787,"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."}}