{"id":"W2956974697","doi":"10.1109/icc.2019.8762072","title":"PhyCode: A Practical Wireless Communication System Exploiting Superimposed Signals","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Wireless; SIGNAL (programming language); Exploit; Offset (computer science); Software-defined radio; Decoding methods; Distortion (music); Carrier frequency offset; Compensation (psychology); Electronic engineering; Frequency offset; Real-time computing; Telecommunications; Channel (broadcasting); Orthogonal frequency-division multiplexing; Bandwidth (computing); Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005623496,0.000638857,0.0005236506,0.0003851395,0.0003743011,0.0008709871,0.0009116685,0.0007588888,0.002933094],"category_scores_gemma":[0.001346391,0.0002288198,0.0002032389,0.0003348652,0.0006924153,0.00106114,0.001394964,0.00097141,0.001391919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003027733,"about_ca_system_score_gemma":0.0007237318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005962782,"about_ca_topic_score_gemma":0.0007209099,"domain_scores_codex":[0.9994593,0.0001437502,0.00002593746,0.00008625117,0.0002351796,0.00004949848],"domain_scores_gemma":[0.9995028,0.0001256205,0.00005304462,0.0001359243,0.0001334194,0.00004917686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000907633,0.0003201122,0.001714486,0.0005775708,0.0001078222,0.001073395,0.0004205725,0.1207883,0.2768154,0.09383799,0.01858376,0.484853],"study_design_scores_gemma":[0.0001498588,0.0009190798,0.0007463826,0.00008025823,0.00005528106,0.001779719,0.00005105159,0.8046309,0.1214214,0.01257778,0.05749224,0.00009606705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02836908,0.0003188743,0.9608519,0.0002563442,0.0001836503,0.0001373519,0.00008530391,0.004032539,0.005764852],"genre_scores_gemma":[0.580611,0.0004132125,0.406109,0.0004718566,0.0001327622,0.0002095008,0.0002362292,0.0001966646,0.01161983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002933094,"threshold_uncertainty_score":0.009812176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399801981238154,"score_gpt":0.2830853499531488,"score_spread":0.2390873301407673,"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."}}