{"id":"W4312129891","doi":"10.1002/adma.202211159","title":"Electron Conductive and Transparent Hydrogels for Recording Brain Neural Signals and Neuromodulation","year":2022,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Optogenetics; Neuromodulation; Materials science; SIGNAL (programming language); Neuroscience; Neural activity; Nanotechnology; Self-healing hydrogels; Decoding methods; Optical transparency; Transparency (behavior); Electrode; Biomedical engineering; Computer science; Optoelectronics; Chemistry; Biology; Medicine; Central nervous system","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":[0.0001317571,0.0003346153,0.00009552398,0.0002234624,0.0001110294,0.0002350549,0.00017797,0.0003319558,0.0009631899],"category_scores_gemma":[0.0002080929,0.0001197618,0.0001251321,0.0001068983,0.0001744897,0.0005031312,0.0002824404,0.0002902889,0.0002014266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370177,"about_ca_system_score_gemma":0.0001382901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001375101,"about_ca_topic_score_gemma":0.0004799391,"domain_scores_codex":[0.9999248,0.00000982336,0.000005386054,0.00001986367,0.00002768731,0.00001253022],"domain_scores_gemma":[0.9999141,0.00002653976,0.00002958946,0.000008676592,0.00000935409,0.00001189882],"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":[0.00002240854,0.00001255936,0.00005524538,0.00008219488,0.000004086774,0.00007877107,0.00001653577,0.0002435317,0.9913501,0.0008859836,0.0001147007,0.007133833],"study_design_scores_gemma":[0.000005884454,0.00008639196,0.0004036753,0.00001036051,0.00000832915,0.0001809114,0.00001575576,0.002125162,0.9923137,0.000279452,0.004561185,0.000009256036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8473693,0.01791929,0.1160964,0.000700779,0.0003719389,0.0001287246,0.0004515676,0.0005087585,0.01645334],"genre_scores_gemma":[0.9594111,0.00416583,0.0312079,0.0001500619,0.0000430352,0.00006035322,0.000127881,0.00003122865,0.0048026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009631899,"threshold_uncertainty_score":0.003222167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04715014041614677,"score_gpt":0.295455052069807,"score_spread":0.2483049116536603,"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."}}