{"id":"W2541206416","doi":"10.1109/biocas.2004.1454174","title":"Multichannel wireless cortical recording: circuits, system design and assembly challenges","year":2005,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Wireless; Power consumption; Electronic circuit; System on a chip; Reduction (mathematics); Chip; Computer hardware; Embedded system; Data acquisition; Electronic engineering; Power (physics); Electrical engineering; Engineering; Telecommunications","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":[0.001317552,0.0004522876,0.000661956,0.0002891195,0.0003064619,0.00123237,0.001886458,0.001109846,0.002571051],"category_scores_gemma":[0.001720125,0.0004473184,0.0002479221,0.0003950892,0.0006134494,0.002104878,0.0004815306,0.0009023129,0.001603528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008856353,"about_ca_system_score_gemma":0.0008674171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006623224,"about_ca_topic_score_gemma":0.001244172,"domain_scores_codex":[0.9993579,0.0001122343,0.00003548361,0.0001094953,0.0003280007,0.0000569172],"domain_scores_gemma":[0.9986377,0.0005831546,0.0001518501,0.0001812586,0.0003827183,0.00006317825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001589387,0.0001596909,0.001198433,0.001487225,0.00007546911,0.0002683703,0.0002104824,0.02625526,0.3695521,0.03946899,0.005804472,0.5553606],"study_design_scores_gemma":[0.0001313419,0.002401239,0.005592145,0.000246737,0.0002198618,0.003444333,0.0003401696,0.2919163,0.4453845,0.04698151,0.2031668,0.0001751347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0370998,0.01457339,0.9362737,0.003536313,0.0002787027,0.0002343607,0.000162533,0.001447123,0.006394017],"genre_scores_gemma":[0.2595727,0.01290508,0.7122415,0.00102336,0.0006296508,0.0006575529,0.0002607948,0.0003693842,0.01233992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002571051,"threshold_uncertainty_score":0.00860101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0933884536835514,"score_gpt":0.2697707634069103,"score_spread":0.1763823097233589,"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."}}