{"id":"W2014416934","doi":"10.1109/lcomm.2012.090312.121198","title":"Information Guided Channel Hopping with an Arbitrary Number of Transmit Antennas","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Decoding methods; Channel (broadcasting); Modulation (music); Constellation; Transmitter power output; Topology (electrical circuits); Algorithm; Electronic engineering; Mathematics; Telecommunications; Transmitter","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":[0.0003173411,0.0003452656,0.0002700355,0.0002558649,0.0002738331,0.0003701152,0.0004681045,0.0004699845,0.0007263733],"category_scores_gemma":[0.001029804,0.0001305454,0.0001635657,0.0003938798,0.0006139969,0.0006177945,0.000570416,0.000392115,0.0002137901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201101,"about_ca_system_score_gemma":0.0002635783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134854,"about_ca_topic_score_gemma":0.0001599525,"domain_scores_codex":[0.9996846,0.0001022115,0.00002012012,0.00005537243,0.0000817082,0.00005601286],"domain_scores_gemma":[0.9993522,0.0003022145,0.0001019774,0.0001549046,0.00006135774,0.00002740228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00127867,0.0001477935,0.001910236,0.0004978164,0.00008163988,0.0007205427,0.000583804,0.1319188,0.4373609,0.1939905,0.001326256,0.2301831],"study_design_scores_gemma":[0.0002864055,0.001032237,0.001169137,0.00007561884,0.00008088606,0.001879425,0.0001253789,0.692044,0.2299169,0.05905633,0.01419351,0.0001401162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1676659,0.0008907778,0.8225439,0.0002657073,0.0001183199,0.0000636806,0.0000472485,0.0002850729,0.008119338],"genre_scores_gemma":[0.8733469,0.0002656369,0.1244976,0.0001086879,0.00004285,0.00006513228,0.00002486381,0.00001200848,0.001636291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007263733,"threshold_uncertainty_score":0.002429962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987759386150379,"score_gpt":0.2674873319849612,"score_spread":0.2376097381234574,"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."}}