{"id":"W4414082330","doi":"10.1002/adhm.202501169","title":"Facile Deep Brain Electrode Coating with MXene for Improved Electrode Performance","year":2025,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Toronto Western Hospital; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Ministry of Science and ICT, South Korea; Krembil Foundation; National Research Foundation of Korea; National Research Foundation","keywords":"Electrode; Deep brain stimulation; Coating; Neuromodulation; Electrical conductor; SIGNAL (programming language); Magnetic resonance imaging; Electrical impedance","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":[0.0001169424,0.0003539792,0.0001116629,0.0001584994,0.00008204574,0.0002284002,0.0002172016,0.0003305297,0.001206467],"category_scores_gemma":[0.0001911318,0.0001431033,0.000139569,0.0001008358,0.0001142897,0.0002679251,0.0001955473,0.000306667,0.0003124507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167352,"about_ca_system_score_gemma":0.0001108849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003358872,"about_ca_topic_score_gemma":0.0007559464,"domain_scores_codex":[0.9999309,0.000004210977,0.00000590225,0.0000179278,0.0000268944,0.00001411785],"domain_scores_gemma":[0.999933,0.00001500163,0.0000217752,0.000009305597,0.00001427082,0.000006588583],"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":[0.000009355346,0.000003644336,0.00003056415,0.00002591634,0.000001976083,0.00001821457,0.000004608845,0.00005823513,0.9987759,0.00005907096,0.00002552345,0.000986868],"study_design_scores_gemma":[0.000003386108,0.00006185882,0.0004795754,0.000003122188,0.000003958478,0.00004933922,0.000004218209,0.0007617789,0.9978554,0.00001391655,0.0007609802,0.000002669864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754686,0.00163896,0.01854645,0.0001287955,0.00007645937,0.00006992826,0.0001974304,0.0001899865,0.003683364],"genre_scores_gemma":[0.9838452,0.0007458921,0.01265294,0.00004416705,0.000009781116,0.00003184445,0.0001131841,0.00002701354,0.002530051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001206467,"threshold_uncertainty_score":0.004036009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492499981435084,"score_gpt":0.2907969540136184,"score_spread":0.2758719541992675,"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."}}