{"id":"W2757036893","doi":"10.1109/iscas.2017.8050567","title":"A sub-mW spectrum sensing architecture for portable IEEE 802.22 cognitive radio applications","year":2017,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cognitive radio; Capacitor; Transceiver; Computer science; Electronic engineering; Chip; Radio frequency; Capacitive sensing; Electrical engineering; Computer hardware; Engineering; Wireless; Telecommunications; Voltage","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0002958952,0.0002620763,0.0003179971,0.0001213945,0.001520384,0.0008928115,0.0006286874,0.00009142728,0.00001188852],"category_scores_gemma":[0.00007100395,0.0002452329,0.000186124,0.0001737455,0.000148628,0.0004042245,0.0001509456,0.0002414713,0.00002861803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005665367,"about_ca_system_score_gemma":0.0001122128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000860582,"about_ca_topic_score_gemma":0.00041587,"domain_scores_codex":[0.9980848,0.00003704337,0.0002627448,0.000736654,0.0002257503,0.0006530001],"domain_scores_gemma":[0.9981677,0.0003437024,0.0002415674,0.0009051121,0.0001593605,0.0001825366],"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":[0.00007660715,0.00015254,0.0005458163,0.00005150859,0.0002403365,0.0001118109,0.0006031566,0.0002633442,0.005317662,0.1043757,0.004250714,0.8840107],"study_design_scores_gemma":[0.004307413,0.0004669349,0.007468852,0.0003729397,0.0002296212,0.001065938,0.0002252749,0.6382785,0.1008506,0.2036738,0.04063652,0.002423717],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007704569,0.0001094694,0.966646,0.00230918,0.0003259173,0.0009464858,0.00001476837,0.000239529,0.02170415],"genre_scores_gemma":[0.9509375,0.0000305878,0.04671692,0.0005220156,0.0008903818,0.00003026881,0.00001115839,0.00003102149,0.0008301566],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9432329,"threshold_uncertainty_score":1,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622135036459666,"score_gpt":0.2588955838530786,"score_spread":0.2426742334884819,"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."}}