{"id":"W2904993731","doi":"10.1109/lsc.2018.8572118","title":"A Multichannel Wireless sEMG Sensor Endowing a &lt;tex&gt;$0.13 \\ \\mu \\mathrm{m}$&lt;/tex&gt; CMOS Mixed-Signal SoC","year":2018,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Université Laval","funders":"","keywords":"CMOS; Transceiver; Microcontroller; Chip; Decimation; Computer science; System on a chip; Noise (video); Wireless sensor network; Engineering; Computer hardware; Electrical engineering; Embedded system; Bandwidth (computing); Telecommunications; Artificial intelligence","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":[0.0002641981,0.0005411516,0.0003478392,0.0004229322,0.000160326,0.0005045054,0.00115512,0.00053598,0.007436994],"category_scores_gemma":[0.0004448212,0.000221344,0.0002866682,0.0003379106,0.0001470851,0.0006550767,0.0003913892,0.0003192566,0.002217709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441415,"about_ca_system_score_gemma":0.0004815058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006811172,"about_ca_topic_score_gemma":0.002130279,"domain_scores_codex":[0.9996666,0.00004061761,0.00002347413,0.00008874062,0.0001499372,0.00003072869],"domain_scores_gemma":[0.9996606,0.00005616091,0.00004246697,0.00003399934,0.0001765981,0.00003022753],"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":[0.0002214929,0.0001174775,0.001673879,0.000529696,0.00008225963,0.0003011289,0.00009716291,0.002072497,0.7832609,0.002657155,0.007923708,0.2010627],"study_design_scores_gemma":[0.0001146819,0.001898299,0.006595207,0.00006662196,0.000221822,0.002809098,0.00007673657,0.06842063,0.7936206,0.0006695819,0.1254144,0.00009232006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1081919,0.001526113,0.8591791,0.0005113113,0.0005190914,0.0005368968,0.001387676,0.009813909,0.0183339],"genre_scores_gemma":[0.4326847,0.0009943517,0.5272737,0.00113868,0.0001776398,0.0004281056,0.001659562,0.0004457367,0.03519752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007436994,"threshold_uncertainty_score":0.02487922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166605674741511,"score_gpt":0.2106352740351449,"score_spread":0.1989692172877298,"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."}}