{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002045701,0.0001396399,0.0001927718,0.0000716596,0.0003509982,0.00006164806,0.00009740783,0.00001516082,0.00001730852],"category_scores_gemma":[0.0002566465,0.0001435125,0.00002127977,0.000130646,0.00004822935,0.000485957,0.00006290813,0.00007259163,3.426946e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000270253,"about_ca_system_score_gemma":0.00000877021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002594929,"about_ca_topic_score_gemma":4.222129e-7,"domain_scores_codex":[0.9987617,0.0001011288,0.0002004162,0.0004771902,0.0001694215,0.0002901496],"domain_scores_gemma":[0.9994847,0.0002665469,0.00008381582,0.00009681,0.00001089028,0.00005726397],"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":[0.00009042686,0.00001001508,0.000002996825,0.00001950618,7.024183e-7,0.000005684009,0.00007556185,0.002462163,0.9949824,0.0006255126,0.000007931345,0.001717055],"study_design_scores_gemma":[0.0004392793,0.0004271233,0.00008259624,0.000004744199,0.000005669659,0.00007255627,0.00001708902,0.00221892,0.9940684,0.001462982,0.001046964,0.0001536543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976535,0.00003420914,0.0002734252,0.0007748517,0.0005387869,0.0005599487,0.00007659823,0.00007807578,0.00001058611],"genre_scores_gemma":[0.9986269,0.00003556791,0.0001277495,0.0009046525,0.00002700657,0.0001951512,0.000003552401,0.00002443236,0.00005493188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0015634,"threshold_uncertainty_score":0.5852268,"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."}}