{"id":"W2031263616","doi":"10.1109/icuwb.2015.7324513","title":"Software Defined Radio Subsampling Receiver for Wireless Monitoring and Sensing Medical Applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Software-defined radio; Radio frequency; Computer science; Wireless; Electronic engineering; Software; Transceiver; Real-time computing; Computer hardware; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002784053,0.0001582037,0.0001866591,0.00008013554,0.0000725819,0.00005169569,0.0001203719,0.0001620788,0.000008448504],"category_scores_gemma":[0.0001940606,0.0001561605,0.00003393762,0.0001761628,0.00004286294,0.0001272319,0.000003000305,0.0001782637,0.00001253756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598753,"about_ca_system_score_gemma":0.00006895404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003951036,"about_ca_topic_score_gemma":0.000009002324,"domain_scores_codex":[0.9990529,0.00001450851,0.0002255171,0.0002101989,0.0002166062,0.0002802841],"domain_scores_gemma":[0.9991289,0.0002512093,0.00001986644,0.0001951272,0.0001220783,0.0002828169],"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":[0.00003888067,0.00005999918,0.01149568,0.0005639665,0.0004853594,0.0000546181,0.002399894,0.02074357,0.06526404,0.01382729,0.0111253,0.8739414],"study_design_scores_gemma":[0.006128273,0.0002243786,0.001447999,0.0008985384,0.0003449764,0.001069046,0.003170457,0.5081841,0.4079577,0.0295754,0.03753727,0.003461785],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05097854,0.0009154054,0.9436612,0.00006655455,0.0004122798,0.000408823,0.000006843701,0.0009456875,0.002604734],"genre_scores_gemma":[0.9632215,0.00009106428,0.036078,0.00001802194,0.0003548251,0.00008391466,0.00001182924,0.00006767764,0.00007318972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9122429,"threshold_uncertainty_score":0.6368039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378386387843733,"score_gpt":0.2556113801480822,"score_spread":0.2177727413637089,"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."}}