{"id":"W2746709150","doi":"10.1002/mop.30850","title":"1.5 µW wake‐up‐receiver for biotelemetry applications","year":2017,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biotelemetry; Electrical engineering; CMOS; Baseband; Amplifier; Sensitivity (control systems); Envelope detector; Microwave; Electronic engineering; Engineering; Telecommunications; Telemetry","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":[0.00005910157,0.0001661949,0.0001922009,0.0001689662,0.0002427117,0.00007687472,0.0003916933,0.0002952348,0.00000802239],"category_scores_gemma":[0.00005558827,0.0001655399,0.00005327928,0.00009030188,0.0005043607,0.00009254381,0.0000109301,0.0002975973,0.00004812676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004600645,"about_ca_system_score_gemma":0.000006662198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002220465,"about_ca_topic_score_gemma":0.000003157892,"domain_scores_codex":[0.9991762,0.000003687641,0.0001670279,0.0002591378,0.00004654345,0.000347405],"domain_scores_gemma":[0.9992947,0.00004335583,0.00003043192,0.000543956,0.00002923704,0.00005832475],"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":[0.000002032567,0.000006640366,0.0003239103,0.00002487729,0.0000602835,0.00000913402,0.00001098545,0.000006921945,0.9232638,0.01457675,0.003254219,0.05846042],"study_design_scores_gemma":[0.0004479203,0.00003329875,0.000382036,0.00002072591,0.00004805666,0.00008621626,0.00003602582,0.0003961792,0.9621782,0.006647716,0.02941159,0.0003120238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4284641,0.001046956,0.5432109,0.01368202,0.000528826,0.001052445,0.00005187242,0.001179434,0.01078339],"genre_scores_gemma":[0.9913216,0.00009744761,0.007865921,0.0003302863,0.00007918542,0.000202748,0.000007452963,0.00003662995,0.00005869832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5628575,"threshold_uncertainty_score":0.6750519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210678328081279,"score_gpt":0.2309880134538856,"score_spread":0.2188812301730728,"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."}}