{"id":"W1536563329","doi":"10.1002/adfm.201501379","title":"Aligned Carbon Nanotube–Based Flexible Gel Substrates for Engineering Biohybrid Tissue Actuators","year":2015,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute","keywords":"Microelectrode; Materials science; Carbon nanotube; Nanotechnology; Actuator; Self-healing hydrogels; Electrode; Tissue engineering; Nanotube; Multielectrode array; Anisotropy; Biomedical engineering; Computer science","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":[0.0001182657,0.0002934761,0.00008775234,0.0002228039,0.0001181352,0.0002118124,0.0002014877,0.0003775503,0.0007493118],"category_scores_gemma":[0.0001775073,0.0001612646,0.0001156237,0.0001397261,0.0001192608,0.0002909856,0.0001120268,0.0002940261,0.0003394414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681522,"about_ca_system_score_gemma":0.00009797656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001799022,"about_ca_topic_score_gemma":0.0009818382,"domain_scores_codex":[0.9999101,0.00001183835,0.000008327494,0.00002027329,0.00003837057,0.00001100787],"domain_scores_gemma":[0.9998965,0.00003836657,0.00002554756,0.00001075908,0.00001706404,0.00001179791],"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":[0.000005271733,0.000005322594,0.00002856443,0.00001661877,0.000001271688,0.00002316753,0.00000523226,0.0001654522,0.9987946,0.00007739697,0.00002604731,0.0008510269],"study_design_scores_gemma":[0.000003681513,0.00004233036,0.0005641908,0.000004550907,0.000003692265,0.0000659216,0.00000977762,0.003385385,0.9943222,0.00005608808,0.001536718,0.000005543349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508936,0.003512153,0.0400576,0.0002333748,0.0001837424,0.00007606501,0.0003384525,0.0002692052,0.004435778],"genre_scores_gemma":[0.9433649,0.001484583,0.05169803,0.00009379087,0.00002639802,0.0001000221,0.0003360292,0.00005801678,0.002838228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007493118,"threshold_uncertainty_score":0.002506733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236566562914415,"score_gpt":0.2289354793746427,"score_spread":0.2052788230832012,"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."}}