{"id":"W2161187754","doi":"10.1109/cicc.2009.5280894","title":"Circuits techniques and microsystems assembly for intracortical multichannel ENG recording","year":2009,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; CMC Microsystems","keywords":"Microsystem; Interfacing; Computer science; Electronic circuit; Electronic engineering; Channel (broadcasting); Power consumption; High fidelity; Power (physics); Computer hardware; Embedded system; Electrical engineering; Engineering; Telecommunications; Materials science; Nanotechnology","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":[0.0002020547,0.0006843223,0.0002379872,0.0004634521,0.0003436238,0.0003706741,0.0005870683,0.0004512732,0.003616767],"category_scores_gemma":[0.0003361029,0.0003655616,0.0002664941,0.0003243644,0.0002950021,0.0005988639,0.0004919303,0.0006574265,0.001338306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400108,"about_ca_system_score_gemma":0.0002752264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300518,"about_ca_topic_score_gemma":0.0007353713,"domain_scores_codex":[0.9997599,0.00002223764,0.0000174253,0.00006035043,0.0001147595,0.00002538454],"domain_scores_gemma":[0.9998522,0.00003093984,0.00004319904,0.0000332234,0.00003162886,0.000008930734],"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":[0.00005069239,0.00006235646,0.0001675847,0.0003655169,0.00002708779,0.0001645874,0.0001086876,0.002393069,0.8450953,0.01812419,0.002186391,0.1312545],"study_design_scores_gemma":[0.00002378744,0.0004407756,0.001156106,0.00004474493,0.00004825474,0.001021669,0.00003875085,0.02075004,0.8899494,0.004401851,0.0820941,0.00003049769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0205862,0.002726321,0.9633017,0.000224473,0.0002631104,0.0001815464,0.0001051076,0.001154305,0.01145736],"genre_scores_gemma":[0.1496382,0.002018254,0.840023,0.0001813145,0.0001259119,0.000351151,0.0001885997,0.0001814257,0.007292089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003616767,"threshold_uncertainty_score":0.01209933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498381589223577,"score_gpt":0.2329507342680137,"score_spread":0.2179669183757779,"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."}}