{"id":"W2292953767","doi":"10.1109/glocom.2015.7417299","title":"Novel Hilbert Spectrum-Based Specific Emitter Identification for Single-Hop and Relaying Scenarios","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Relay; Identification (biology); Common emitter; Entropy (arrow of time); Algorithm; Electronic engineering; Topology (electrical circuits); Engineering; Physics; Electrical engineering; Power (physics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009252771,0.0003451059,0.0003424349,0.0001860336,0.0004970995,0.0008857163,0.002928916,0.000208541,0.00001070744],"category_scores_gemma":[0.0002292363,0.0003816391,0.0001044147,0.0007934575,0.0003234266,0.001194686,0.0004320335,0.0002628883,0.0001185812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006580088,"about_ca_system_score_gemma":0.00043984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001868909,"about_ca_topic_score_gemma":0.0002864295,"domain_scores_codex":[0.997171,0.0002322264,0.0008158488,0.0007955058,0.0005209614,0.0004644374],"domain_scores_gemma":[0.9942646,0.000348482,0.000553852,0.003460289,0.001030113,0.0003426528],"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":[0.0001370351,0.00185869,0.007179077,0.00009782055,0.0001255419,0.000003129772,0.00153843,0.004024666,0.0761488,0.8203291,0.02899311,0.05956457],"study_design_scores_gemma":[0.002659102,0.000180338,0.009134507,0.0001552277,0.00005358391,0.00007320692,0.0002861941,0.9222057,0.003794539,0.02364088,0.03679812,0.00101863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008555139,0.0004428655,0.964735,0.02154448,0.0006237914,0.0009249464,0.00008288623,0.0003424472,0.0027484],"genre_scores_gemma":[0.8915219,0.0000451528,0.1075111,0.0003815345,0.00008146048,0.0001843058,0.0001444837,0.00002163455,0.0001084156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.918181,"threshold_uncertainty_score":0.9998636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1614913619258457,"score_gpt":0.319582731107059,"score_spread":0.1580913691812133,"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."}}