{"id":"W2427644360","doi":"10.1109/jsen.2016.2581170","title":"Custom PXIe-567X-Based SAW RFID Interrogation Signal Generator","year":2016,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"RFID technology advancements","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Signal generator; Phase-shift keying; SIGNAL (programming language); Arbitrary waveform generator; Computer science; Interrogation; Waveform; Keying; Electronic engineering; Software-defined radio; Radio frequency; Modulation (music); Frequency domain; Amplitude-shift keying; Electrical engineering; Computer hardware; Engineering; Telecommunications; Channel (broadcasting); Acoustics; Bit error rate; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005762615,0.0006211294,0.0004344764,0.0004747049,0.0001211317,0.0005339989,0.0010849,0.0005123851,0.00490228],"category_scores_gemma":[0.0006979703,0.0004002349,0.0002557427,0.0001920589,0.0002425171,0.0005592798,0.0005264706,0.0006506506,0.002877575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486852,"about_ca_system_score_gemma":0.0002771666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006937674,"about_ca_topic_score_gemma":0.00009316583,"domain_scores_codex":[0.999293,0.00008768436,0.00005173831,0.0001588963,0.0003384054,0.00007031801],"domain_scores_gemma":[0.9994929,0.000126857,0.0001351069,0.00009534679,0.0001125904,0.00003722066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004603137,0.0001217589,0.001231322,0.0003120492,0.00003608754,0.0003676414,0.000113264,0.001779555,0.9066234,0.003206557,0.003500069,0.08224792],"study_design_scores_gemma":[0.00009449665,0.001060795,0.002151001,0.00001903612,0.00004805363,0.001448672,0.00001678823,0.02210623,0.9248953,0.0002909628,0.04781412,0.00005460322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2722459,0.001104183,0.6894109,0.0003710676,0.0005452383,0.0009012125,0.0008504554,0.01818331,0.01638776],"genre_scores_gemma":[0.6411737,0.0004781214,0.3218873,0.0005746136,0.0001553209,0.0008782684,0.001854343,0.001038288,0.03196006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00490228,"threshold_uncertainty_score":0.01639974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009187014161655042,"score_gpt":0.2143729836627702,"score_spread":0.2051859695011151,"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."}}