{"id":"W2342475147","doi":"10.1109/comst.2016.2519148","title":"Signal Identification for Multiple-Antenna Wireless Systems: Achievements and Challenges","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"MIMO; Identification (biology); Space–time block code; SIGNAL (programming language); Computer science; Wireless; Electronic engineering; Transmission (telecommunications); 3G MIMO; Telecommunications; Engineering; 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":[0.005565804,0.0002452654,0.0003561472,0.0002279887,0.0005161439,0.0003059654,0.002265536,0.0001589278,0.000002016529],"category_scores_gemma":[0.0005117172,0.0002051221,0.00007976721,0.0002874383,0.0002354714,0.001158961,0.0003153949,0.00008972456,0.00004191448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681917,"about_ca_system_score_gemma":0.0001074171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007522907,"about_ca_topic_score_gemma":0.00009107489,"domain_scores_codex":[0.9955027,0.002223487,0.0009095208,0.0006371784,0.0004003825,0.0003266995],"domain_scores_gemma":[0.9910805,0.004390369,0.0006363521,0.002929474,0.0008298245,0.0001334709],"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":[0.00002612207,0.000394923,0.00255329,0.0001365495,0.0001524515,4.019317e-7,0.0008817591,0.00003962206,0.5045804,0.2445399,0.0004398045,0.2462547],"study_design_scores_gemma":[0.01151459,0.0006522184,0.3585083,0.001453893,0.0002444037,0.00003930737,0.001111345,0.456503,0.0552981,0.02534065,0.08551669,0.003817448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01481965,0.00172748,0.9737127,0.005861986,0.00215451,0.001255993,0.0001083053,0.0002975156,0.00006188562],"genre_scores_gemma":[0.9908535,0.002433251,0.005203143,0.00002124249,0.0003016581,0.0008703446,0.00004067323,0.00003116256,0.000245013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9760339,"threshold_uncertainty_score":0.8364635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444935142256229,"score_gpt":0.3077845733162525,"score_spread":0.1632910590906296,"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."}}