{"id":"W4376121777","doi":"10.1002/smll.202301932","title":"Liquid Crystalline Elastomer for Separate or Collective Sensing and Actuation Functions","year":2023,"lang":"en","type":"article","venue":"Small","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Centre québécois sur les matériaux fonctionnels","keywords":"Elastomer; Actuator; Materials science; Shape change; Liquid crystalline; Folding (DSP implementation); Deformation (meteorology); Liquid crystal; Nanotechnology; Phase transition; Phase (matter); Optoelectronics; Computer science; Mechanical engineering; Composite material; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001270436,0.0002603889,0.0001714375,0.0001677823,0.0001281743,0.0002702291,0.0002717514,0.0003078572,0.00212195],"category_scores_gemma":[0.000154724,0.0001120556,0.000174734,0.0001866183,0.0002860086,0.0003517227,0.0002808615,0.0003911773,0.0005254644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544981,"about_ca_system_score_gemma":0.0001928037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001577974,"about_ca_topic_score_gemma":0.0004196669,"domain_scores_codex":[0.9998771,0.000008468491,0.000008239322,0.00003409536,0.00004540426,0.00002666851],"domain_scores_gemma":[0.9998879,0.00003214313,0.0000297626,0.0000207124,0.0000121912,0.00001722741],"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":[0.00002182428,0.00001473505,0.00007814963,0.00004046546,0.000002692184,0.000058523,0.000011042,0.0001593398,0.9944093,0.0005791308,0.00007419847,0.004550575],"study_design_scores_gemma":[0.000006157145,0.00006811722,0.0003832151,0.000003628325,0.000005297692,0.0001131808,0.0000110132,0.001900364,0.9944155,0.00006074728,0.003027696,0.00000501571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801441,0.003318638,0.08502197,0.0005994732,0.0001655296,0.000128298,0.0005414519,0.001426286,0.02865409],"genre_scores_gemma":[0.9729611,0.0004795068,0.02086037,0.0001450777,0.0000230005,0.00005324273,0.0001759954,0.00004613868,0.005255565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00212195,"threshold_uncertainty_score":0.007098675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249103988514768,"score_gpt":0.2515218605885233,"score_spread":0.2190308207033757,"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."}}