{"id":"W2516398979","doi":"10.1109/tmtt.2016.2600301","title":"System-Level Design of a Full-Duplex Wireless Transceiver for Brain–Machine Interfaces","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transceiver; Telecommunications link; Computer science; Wireless; Gigabit; Computer hardware; Duplex (building); MIMO; Electronic engineering; Telemetry; Channel (broadcasting); Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002165042,0.0003221299,0.0002917687,0.0002034124,0.0002602008,0.000753779,0.0009089763,0.0005600354,0.003075691],"category_scores_gemma":[0.0003563513,0.0002372273,0.00021689,0.0001303079,0.0001856175,0.0006167349,0.0002966546,0.000328044,0.001832282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602765,"about_ca_system_score_gemma":0.0004824357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000263824,"about_ca_topic_score_gemma":0.0004355586,"domain_scores_codex":[0.9997379,0.00004435243,0.00002215705,0.00005771687,0.0001096865,0.00002814844],"domain_scores_gemma":[0.9998156,0.00002678355,0.00002642051,0.00002268676,0.0000945574,0.00001389199],"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":[0.0001770628,0.0001420095,0.001623507,0.0005780937,0.0001783811,0.0003595196,0.0002945996,0.04846394,0.8127802,0.02156119,0.00710815,0.1067334],"study_design_scores_gemma":[0.0001100691,0.001463855,0.002113453,0.0000690637,0.0001577975,0.001200121,0.00008746445,0.5445256,0.3710357,0.003925649,0.0752349,0.00007630684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03899681,0.0003423145,0.9504779,0.0002928509,0.0001175746,0.0002085434,0.0001258366,0.001388412,0.008049758],"genre_scores_gemma":[0.6148761,0.0003639349,0.3718485,0.0004272524,0.000117646,0.0005160696,0.0003034766,0.0001540665,0.01139299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003075691,"threshold_uncertainty_score":0.01028919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679866577488448,"score_gpt":0.226825423708372,"score_spread":0.2100267579334875,"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."}}