{"id":"W2128342616","doi":"10.1109/mmb.2002.1002328","title":"Mechanical assembly of a microelectrode array for use in a wireless intracortical recording device","year":2003,"lang":"en","type":"article","venue":"2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578)","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Microelectrode; Multielectrode array; Parylene; Materials science; Electrode; Electrode array; Polyimide; Fabrication; Cable gland; Microelectromechanical systems; Optoelectronics; Biomedical engineering; Nanotechnology; Electrical engineering; Layer (electronics); Engineering; Composite material; Polymer; Chemistry","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":[0.0002929561,0.0005912703,0.0004225178,0.0005160777,0.0003878897,0.0004023231,0.0009902059,0.0007123825,0.0033198],"category_scores_gemma":[0.0005178047,0.0005362795,0.000305323,0.0002346064,0.0002314052,0.0003594437,0.0004145876,0.0007015106,0.002650541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162719,"about_ca_system_score_gemma":0.0003277252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003164981,"about_ca_topic_score_gemma":0.0006770091,"domain_scores_codex":[0.9996861,0.0000203021,0.0000301573,0.00008987023,0.0001380601,0.00003554069],"domain_scores_gemma":[0.9997202,0.00005727521,0.0000428754,0.00006555273,0.0000817083,0.00003238918],"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":[0.00003035988,0.00003099714,0.00009351431,0.00009338784,0.000005694359,0.0001650562,0.00001425098,0.0002951598,0.983712,0.0004440451,0.000410138,0.01470537],"study_design_scores_gemma":[0.00005923551,0.0009710172,0.004026262,0.00003067447,0.00004377795,0.001665417,0.00002000054,0.006024039,0.9421301,0.0005596143,0.04444025,0.0000295296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0969097,0.001801913,0.882818,0.0004873142,0.001059004,0.001527946,0.0009131354,0.003983565,0.01049943],"genre_scores_gemma":[0.1948992,0.0008680638,0.7914772,0.0002853746,0.000187997,0.001463343,0.0007734003,0.0002319533,0.009813495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0033198,"threshold_uncertainty_score":0.01110584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005795589214858,"score_gpt":0.3405987238766313,"score_spread":0.2400191649551455,"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."}}