{"id":"W2064117904","doi":"10.1145/1601896.1601901","title":"Multichannel intracortical neurorecording","year":2009,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs; CMC Microsystems","keywords":"Computer science; Microsystem; Flexibility (engineering); Reliability (semiconductor); Massively parallel; Computer hardware; Brain implant; Embedded system; Wireless; Transducer; Electrode array; Power (physics); Electrical engineering; Voltage; Engineering; Telecommunications; Materials science; Artificial intelligence; 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":[0.0001721536,0.0003465746,0.0002813911,0.0003547638,0.0002560943,0.0003707789,0.0006648955,0.0002867931,0.004262713],"category_scores_gemma":[0.0004025823,0.0001642775,0.0002723485,0.0003627773,0.0002320154,0.0004631598,0.0004422518,0.0004372933,0.001179253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002800497,"about_ca_system_score_gemma":0.0002746193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007653273,"about_ca_topic_score_gemma":0.002665406,"domain_scores_codex":[0.9996469,0.00002496832,0.00001700498,0.000113975,0.0001624435,0.00003473928],"domain_scores_gemma":[0.9997202,0.00008732644,0.00002508426,0.00007810115,0.00006679931,0.00002248322],"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":[0.0003280607,0.00008005976,0.0007954586,0.0004497638,0.00005964227,0.0003213401,0.0001680941,0.001999621,0.5081373,0.002250114,0.003566768,0.4818438],"study_design_scores_gemma":[0.00006864339,0.001059051,0.009987037,0.0001163616,0.0001874675,0.00469969,0.000154826,0.03630336,0.808834,0.003572934,0.1349128,0.0001037511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1321186,0.0121393,0.8092803,0.0003945439,0.001026665,0.0003315493,0.0008709269,0.005191786,0.03864629],"genre_scores_gemma":[0.6020167,0.004742282,0.3711476,0.0003748453,0.0004262211,0.0003080575,0.0005303588,0.0003574324,0.0200964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004262713,"threshold_uncertainty_score":0.01426023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821684331636063,"score_gpt":0.2748739224421218,"score_spread":0.2366570791257611,"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."}}