{"id":"W2091665647","doi":"10.1109/iembs.2010.5626410","title":"3D microprobes for deep brain stimulation and recording","year":2010,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medtronic (Canada); Mediprobe Research (Canada); University of Waterloo","funders":"","keywords":"Microprobe; Planar; Materials science; Stimulation; Electrode; Microelectrode; Micrometer; Lithography; Fabrication; Optoelectronics; Biomedical engineering; Computer science; Optics; Physics; Neuroscience; Engineering; Computer graphics (images)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007825613,0.00006437192,0.00005490823,0.00005041481,0.0001232974,0.00006024671,0.00007823919,0.00002563085,0.00001925399],"category_scores_gemma":[0.0006005349,0.0000543912,0.00001671909,0.0001024642,0.00003699488,0.0002320443,0.00002729697,0.00008296294,0.000004428074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002485481,"about_ca_system_score_gemma":0.00000402483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003029122,"about_ca_topic_score_gemma":0.000009626417,"domain_scores_codex":[0.99946,0.000006170535,0.0000790492,0.0002385866,0.00005943804,0.0001567809],"domain_scores_gemma":[0.999553,0.0002912023,0.00001781797,0.00008459921,0.000006785426,0.00004658927],"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":[0.000003567988,0.000004529633,0.00009980684,0.000005558162,8.87534e-8,8.134595e-7,0.00002054131,0.00004876259,0.9864525,0.001914014,0.00005024218,0.01139959],"study_design_scores_gemma":[0.0001446041,0.00004360728,0.0003413923,0.000002116719,0.000001184453,0.00002012418,0.000003660501,0.1053402,0.8900431,0.0004290617,0.003549179,0.00008171471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869211,0.000002246153,0.01134717,0.0005693902,0.0004791852,0.0001813955,0.000001223128,0.00008936435,0.0004089249],"genre_scores_gemma":[0.9945434,0.000003719243,0.003910356,0.0009244411,0.00005566988,0.000009659386,2.041238e-7,0.000009463942,0.0005430274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1052915,"threshold_uncertainty_score":0.2218009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523972956185587,"score_gpt":0.2748938947889877,"score_spread":0.2496541652271318,"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."}}