{"id":"W2091797644","doi":"10.1126/science.1211220","title":"Torsional Carbon Nanotube Artificial Muscles","year":2011,"lang":"en","type":"article","venue":"Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":580,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial muscle; Carbon nanotube; Materials science; Rotation (mathematics); Electrode; Yarn; Fluidics; Composite material; Nanotube; Bending; Twist; Rotational speed; Nanotechnology; Mechanical engineering; Actuator; Computer science; Chemistry; Electrical engineering; 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":[0.0001708456,0.0002186105,0.0001679646,0.0001434484,0.0001616826,0.0002018005,0.0003226219,0.0003278208,0.0008644575],"category_scores_gemma":[0.0002431691,0.0001042054,0.0001158248,0.0001559389,0.0002993505,0.0003149765,0.0002365098,0.0002791106,0.0003209705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572107,"about_ca_system_score_gemma":0.0001016162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001174004,"about_ca_topic_score_gemma":0.0002459346,"domain_scores_codex":[0.9998174,0.00003083125,0.00001446482,0.0000486581,0.00007081994,0.0000178904],"domain_scores_gemma":[0.9998676,0.00003482544,0.00004300745,0.00001553377,0.00002050234,0.00001856698],"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":[0.00002003126,0.000004251744,0.00007761722,0.00004609772,0.000002806212,0.00002374528,0.000009698216,0.0002036831,0.9950295,0.0006292514,0.00007391356,0.003879398],"study_design_scores_gemma":[0.00001252666,0.0001935093,0.001663276,0.00001545627,0.00001083185,0.0003919476,0.0000141722,0.006925195,0.977055,0.0003631102,0.01333762,0.00001744404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872771,0.00844307,0.09489478,0.0005613242,0.0004057226,0.00007655629,0.0002839405,0.0003473078,0.007710141],"genre_scores_gemma":[0.9385432,0.002867706,0.0518352,0.0001404918,0.00005968929,0.00008193819,0.0001513258,0.00003286327,0.006287556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008644575,"threshold_uncertainty_score":0.002891839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332612971246305,"score_gpt":0.2201252074687714,"score_spread":0.1868639103441409,"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."}}