{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002016607,0.0003430415,0.0001825615,0.0001674527,0.000133712,0.000163254,0.0002239404,0.0002064091,0.0007329342],"category_scores_gemma":[0.0002058843,0.0001560599,0.0001941669,0.0001459184,0.0002747198,0.0003028602,0.0002954663,0.0003396497,0.0003718487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837823,"about_ca_system_score_gemma":0.0001100417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001401277,"about_ca_topic_score_gemma":0.0005566563,"domain_scores_codex":[0.9998847,0.00001869275,0.000009365455,0.00002230548,0.00004212938,0.00002274414],"domain_scores_gemma":[0.9998499,0.00003324206,0.00005739234,0.00001908802,0.00001781115,0.00002257927],"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":[0.00001570746,0.000002734868,0.00007207119,0.0000334926,0.000001948951,0.00002575457,0.0000130399,0.0001484791,0.9980259,0.0001477081,0.00002504182,0.001488195],"study_design_scores_gemma":[0.000005673082,0.0001086523,0.001429907,0.000008158758,0.000005294974,0.0001415626,0.00001465483,0.002110201,0.9930308,0.00006413714,0.003072586,0.000008208511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616258,0.00223781,0.03207789,0.0001395216,0.0001256708,0.00003745286,0.0001934957,0.0001899559,0.003372435],"genre_scores_gemma":[0.9715505,0.001317788,0.0228991,0.0000476881,0.00002673053,0.00006388729,0.0001761245,0.00006806412,0.003850173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007329342,"threshold_uncertainty_score":0.002451897,"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."}}