{"id":"W4405337758","doi":"10.1002/adma.202416926","title":"Amylopectin‐based Hydrogel Probes for Brain‐machine Interfaces","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"National Natural Science Foundation of China","keywords":"Neuromodulation; Materials science; Biological neural network; Neuroscience; Biomedical engineering; Reconfigurability; Brain implant; Neuroprosthetics; Biocompatibility; Nanotechnology; Computer science; Medicine; Central nervous system; Biology","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":[0.0001479348,0.0003109269,0.0001296672,0.0001332922,0.00007489428,0.0001808521,0.0001961269,0.0002994707,0.0008532632],"category_scores_gemma":[0.0001562999,0.00009703959,0.0001115206,0.0001168407,0.0001545955,0.0004829399,0.0001844547,0.0003507852,0.0001932648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244769,"about_ca_system_score_gemma":0.0001385191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000206133,"about_ca_topic_score_gemma":0.0004021993,"domain_scores_codex":[0.9999454,0.000009095531,0.000004803533,0.00001214173,0.00001890939,0.000009607225],"domain_scores_gemma":[0.9999183,0.00002484572,0.00002887784,0.000005156568,0.0000115885,0.00001129886],"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":[0.0000203913,0.00001041441,0.00004695328,0.00004843805,0.000001881216,0.0000399624,0.00001230188,0.000144788,0.9949002,0.0002704821,0.00007436221,0.00442977],"study_design_scores_gemma":[0.000009838825,0.000169759,0.0005819485,0.000009312121,0.000007827807,0.0001584396,0.00001313769,0.003020546,0.9910005,0.0001348341,0.004885959,0.000007918378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7787649,0.02388739,0.1890406,0.0009080927,0.0002298984,0.0001849056,0.0002485164,0.0005644055,0.006171385],"genre_scores_gemma":[0.92875,0.005265388,0.06130337,0.0002586806,0.00004295443,0.0001430233,0.0001311588,0.00004233486,0.004063005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008532632,"threshold_uncertainty_score":0.002854466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291041040788418,"score_gpt":0.3085563285986527,"score_spread":0.2794522245198109,"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."}}