{"id":"W2610051310","doi":"10.1021/acsami.7b02335","title":"Fast Torsional Artificial Muscles from NiTi Twisted Yarns","year":2017,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Nickel titanium; Yarn; Gravimetric analysis; Niobium; Torque; Nanotube; Nanowire; Carbon nanotube; Wax; Paraffin wax; Shape-memory alloy; Nanotechnology; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001239919,0.0003139363,0.0004099135,0.00004099939,0.0002629391,0.0005175662,0.0005291807,0.000167306,0.001283569],"category_scores_gemma":[0.00002385925,0.0002986141,0.0000182735,0.0000178839,0.00007553603,0.0002283435,0.0002373267,0.00009005358,0.0004408769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004116767,"about_ca_system_score_gemma":0.00001206337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008001809,"about_ca_topic_score_gemma":0.00005507498,"domain_scores_codex":[0.998691,0.00001392709,0.0004211006,0.0003266647,0.0001735378,0.0003738268],"domain_scores_gemma":[0.9991115,0.00003339444,0.0001587394,0.0005883715,0.0000334609,0.00007452497],"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":[0.00007715028,0.00002052578,9.916769e-7,0.00003649564,0.00004338063,0.000005930464,0.0001743098,0.0002207774,0.9907941,0.00363143,0.0003037367,0.004691149],"study_design_scores_gemma":[0.0002638896,0.00002019461,0.0001092332,0.0000520971,0.00002773695,0.000002006807,0.000159986,0.000009381281,0.9866797,0.01088938,0.001446495,0.0003399125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921908,0.00006084063,0.0005863604,0.00004287521,0.003652127,0.0002320839,0.0006688292,0.0003728851,0.002193209],"genre_scores_gemma":[0.9974906,0.00007256181,0.001251293,0.00004100706,0.0007978386,0.00007525006,0.0001106174,0.0000787664,0.00008200671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007257955,"threshold_uncertainty_score":0.9999466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797966167460558,"score_gpt":0.2335308489990754,"score_spread":0.2155511873244698,"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."}}