{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002314548,0.0003810046,0.0004371975,0.0001431403,0.00006986525,0.00008914174,0.0001331549,0.0001272512,0.00008255536],"category_scores_gemma":[0.000221627,0.0003922019,0.00005420553,0.000159547,0.00003178912,0.0002994664,0.000020098,0.00003332762,0.00003402365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469199,"about_ca_system_score_gemma":0.00004816688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001919471,"about_ca_topic_score_gemma":0.000002475113,"domain_scores_codex":[0.9984171,0.00002238606,0.0004795013,0.0003453265,0.0002248031,0.0005109186],"domain_scores_gemma":[0.9991425,0.0001535613,0.0000807113,0.0002670068,0.000153087,0.0002030798],"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":[0.0001186268,0.00001087186,0.000005635451,0.00008500012,0.00002370421,0.000002912603,0.00001215453,0.3506497,0.6479626,0.0006569314,0.0001365306,0.0003352766],"study_design_scores_gemma":[0.0010886,0.0001098795,0.00007110766,0.00005405904,0.00002613298,0.00001057679,0.00002047244,0.003029539,0.984174,0.001130016,0.009823442,0.0004622161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9154846,0.0001681317,0.07587555,0.00003629259,0.005974596,0.000406461,0.0002086163,0.001435549,0.0004101778],"genre_scores_gemma":[0.9748529,0.00001041159,0.02343252,0.00005709974,0.0006524387,0.0002885931,0.0003631688,0.000140349,0.0002025848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3476202,"threshold_uncertainty_score":0.999853,"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."}}