{"id":"W2020642317","doi":"10.4028/www.scientific.net/ast.61.65","title":"Carbon Nanotube Yarns as High Load Actuators and Sensors","year":2008,"lang":"en","type":"article","venue":"Advances in science and technology","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Carbon nanotube; Materials science; Spinning; Actuator; Composite material; Carbon nanotube actuators; Yarn; Voltage; Tension (geology); Nanotechnology; Ultimate tensile strength; Carbon fibers; Nanotube; Mechanical properties of carbon nanotubes; Composite number; Electrical engineering","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":[0.0002327671,0.00008322729,0.0001223634,0.000208706,0.0002868572,0.00001816247,0.0002302631,0.00005986925,0.00001331112],"category_scores_gemma":[0.000229357,0.0000714719,0.000004844348,0.0009938444,0.002695226,0.0002955207,0.0001945703,0.00008859453,0.000008196277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003654973,"about_ca_system_score_gemma":0.0001384445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001961707,"about_ca_topic_score_gemma":0.00007128747,"domain_scores_codex":[0.9989988,0.000006614922,0.0001256296,0.0003998432,0.000196413,0.0002727134],"domain_scores_gemma":[0.9995682,0.00004112577,0.00005240968,0.0002209154,0.00006956525,0.00004782305],"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":[0.000004263269,0.00002614986,0.008913507,0.000005277731,6.066631e-7,0.000017706,0.0005258606,0.000003539602,0.9063817,0.02076097,0.000008051436,0.0633524],"study_design_scores_gemma":[0.0002533201,0.00009795073,0.0008966727,0.00001594103,0.000003394443,0.0002521588,0.001057511,0.00005373367,0.9633324,0.02591299,0.007924462,0.0001995263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957033,0.001370414,0.0000105288,0.001367584,0.0001397509,0.000084924,0.000001391169,0.00008034693,0.001241799],"genre_scores_gemma":[0.9977739,0.001104835,0.0009409576,0.00005804372,0.00001237873,0.00002079143,1.096227e-7,0.000003650724,0.00008530153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06315287,"threshold_uncertainty_score":0.9930674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0081819846565639,"score_gpt":0.2653129961764839,"score_spread":0.25713101151992,"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."}}