{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002291835,0.000279355,0.0003872536,0.00013941,0.000462146,0.00009405462,0.0003331584,0.0000704961,0.000008454843],"category_scores_gemma":[0.000492184,0.000241386,0.00004015246,0.0005252394,0.00006041383,0.0004353196,0.00005661994,0.0001665747,0.000005303374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081235,"about_ca_system_score_gemma":0.0001354097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001562944,"about_ca_topic_score_gemma":0.00003424158,"domain_scores_codex":[0.9976842,0.0000760046,0.0004137022,0.0007341367,0.0001619177,0.0009299851],"domain_scores_gemma":[0.9990153,0.0003110223,0.0001559909,0.0003512412,0.00006215249,0.0001042586],"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":[0.0002931694,0.00001512642,0.00001301281,0.0002828596,0.000001610378,0.000002196622,0.00004227572,0.0002535691,0.9891049,0.001630669,0.00002354845,0.008337009],"study_design_scores_gemma":[0.0006891695,0.0007364579,0.00009938383,0.00009230204,0.000005128626,0.00001760773,0.00001622047,0.001919046,0.9929712,0.0003449708,0.002863554,0.0002449911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870931,0.00006408184,0.006706858,0.003802662,0.0006563142,0.001233114,0.00005954555,0.0003037705,0.00008056156],"genre_scores_gemma":[0.9909549,0.000149534,0.001681646,0.006162825,0.00007641004,0.0003965028,0.00001102896,0.00004135532,0.0005258406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008092018,"threshold_uncertainty_score":0.9843436,"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."}}