{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005694047,0.00006512751,0.00007840315,0.00004694016,0.00006365473,0.00001477563,0.00001259266,0.00003597562,0.0000130654],"category_scores_gemma":[0.00002948102,0.00005895614,0.00001349992,0.0001287887,0.000004652907,0.00004083703,0.00001057784,0.00002556239,0.00001620393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003094777,"about_ca_system_score_gemma":0.0000153904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001459783,"about_ca_topic_score_gemma":0.00006449174,"domain_scores_codex":[0.9996867,0.000003393338,0.0000763299,0.00008382119,0.00002444292,0.0001253626],"domain_scores_gemma":[0.9998291,0.00004855952,0.00001231931,0.00004863972,0.00003320018,0.00002820806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003190407,0.000005888702,3.502493e-7,0.0001210972,0.00004605953,0.0000041023,0.0005566448,0.05811431,0.9333537,0.0001658161,0.002032999,0.005279999],"study_design_scores_gemma":[0.001811003,0.0007392461,0.00007508109,0.00008210851,0.00009765566,0.00001923486,0.0007553435,0.6923127,0.168684,0.004035184,0.130817,0.0005715191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5396764,0.00002095427,0.4589579,0.00003260663,0.000453067,0.0002310962,0.00003483465,0.0003260425,0.0002670618],"genre_scores_gemma":[0.9851896,0.0001105122,0.007140541,0.00004146546,0.0002297188,0.0000463583,0.00006817799,0.00005604386,0.007117547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7646697,"threshold_uncertainty_score":0.2404162,"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."}}