{"id":"W4412660097","doi":"10.36227/techrxiv.175355590.02408576/v1","title":"Ultra-Compact Tunable IR-UWB Transmitter in 28 nm CMOS for Neural Implants with IEEE 802.15.6 Compliance","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; École de Technologie Supérieure; Université de Sherbrooke","funders":"","keywords":"Transmitter; CMOS; Compliance (psychology); Materials science; Wireless; Optoelectronics; Electrical engineering; Computer science; Telecommunications; Engineering; Psychology; Channel (broadcasting)","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"],"consensus_categories":[],"category_scores_codex":[0.0001712407,0.0007263663,0.0009582744,0.0002250938,0.00006450649,0.0001258635,0.0006866583,0.0004704781,0.000106039],"category_scores_gemma":[0.000005107048,0.0006636397,0.0001997766,0.0002476237,0.00005426493,0.0001510403,0.00002538711,0.001213588,0.00001912253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002155761,"about_ca_system_score_gemma":0.00008029737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003397287,"about_ca_topic_score_gemma":0.0009722235,"domain_scores_codex":[0.9973946,0.00003903719,0.0006423707,0.0007270292,0.0002412564,0.0009557584],"domain_scores_gemma":[0.9987273,0.0002366118,0.00007955064,0.0007446866,0.00006407114,0.0001477916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000142639,0.00005281122,0.003621303,0.001867246,0.0001938855,0.00004132882,0.000298216,0.9634689,0.0006902035,0.00004089964,0.02690807,0.002674511],"study_design_scores_gemma":[0.002481619,0.00008391871,0.0112107,0.00261053,0.0001104648,0.00004923063,0.00007852124,0.9667599,0.01073346,0.0003723742,0.003827784,0.00168149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7187266,0.001252362,0.1564672,0.0009794773,0.005297947,0.007402554,0.001670205,0.003006631,0.105197],"genre_scores_gemma":[0.9948263,0.00007025367,0.002186951,0.0002567783,0.0002708597,0.0002278536,0.0001883872,0.0001194774,0.001853141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2760997,"threshold_uncertainty_score":0.9995815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691648133360356,"score_gpt":0.2550047281813521,"score_spread":0.2280882468477486,"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."}}