{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002930908,0.0003198082,0.0003326144,0.0003680819,0.000245127,0.0004284187,0.0003974932,0.0008120694,0.001086234],"category_scores_gemma":[0.000250795,0.0002373373,0.0001349199,0.0004039726,0.0004164822,0.0006665342,0.0002705243,0.0004072331,0.0006839464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873912,"about_ca_system_score_gemma":0.0001035298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001287371,"about_ca_topic_score_gemma":0.0003383403,"domain_scores_codex":[0.9996529,0.0000582121,0.0000159669,0.00005546147,0.0001934022,0.00002410969],"domain_scores_gemma":[0.9998085,0.00006469897,0.00004176869,0.00001910691,0.00004542254,0.0000206545],"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":[0.0000320831,0.00001641217,0.0001359596,0.0001515466,0.000004757951,0.00009459839,0.00002668191,0.001058644,0.9838987,0.003491207,0.0003806218,0.01070864],"study_design_scores_gemma":[0.00001452619,0.0002238847,0.001289791,0.00002887335,0.00001274701,0.0004167996,0.00002558069,0.01278281,0.9598714,0.00153209,0.02376747,0.00003398895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6992701,0.1290077,0.1218924,0.001684277,0.001351425,0.0001690689,0.0004097533,0.001349418,0.0448659],"genre_scores_gemma":[0.9057482,0.02043302,0.05753222,0.0002795397,0.0002968401,0.00008609259,0.0001763906,0.00008744535,0.0153602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001086234,"threshold_uncertainty_score":0.003633797,"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."}}