{"id":"W3122960981","doi":"10.1016/j.ins.2021.01.009","title":"Modeling of photo-responsive liquid crystal elastomer actuators","year":2021,"lang":"en","type":"article","venue":"Information Sciences","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Actuator; Deformation (meteorology); Robot; Process (computing); Materials science; Mechanical engineering; Computer science; Elastomer; Artificial intelligence; Engineering; Composite material","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":[0.000163545,0.0004037562,0.0004610621,0.000235274,0.0004369438,0.0008595994,0.001083475,0.001630054,0.004789802],"category_scores_gemma":[0.0005042722,0.0004275505,0.0005092509,0.0002334317,0.0004908253,0.0006687728,0.0003969099,0.0003971133,0.0005512247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008274458,"about_ca_system_score_gemma":0.001088904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087062,"about_ca_topic_score_gemma":0.006620728,"domain_scores_codex":[0.9998783,0.00001864767,0.000003320148,0.00002150161,0.00004793008,0.00003024597],"domain_scores_gemma":[0.9998479,0.00007585809,0.00001919845,0.00001306965,0.00002880209,0.00001506872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002286727,0.00002482522,0.0001577669,0.00003740383,0.000009438249,0.0001133285,0.00002392209,0.98507,0.00823911,0.004749434,0.0002103987,0.001341622],"study_design_scores_gemma":[0.000003427846,0.00000627231,0.00006797301,0.000001873617,0.000001930064,0.000007413919,0.000005912921,0.9986216,0.0007561829,0.0002778934,0.0002466295,0.000003027337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4672297,0.001116469,0.3489649,0.001418895,0.0002076458,0.0002720985,0.0009771368,0.0009623803,0.1788507],"genre_scores_gemma":[0.9652709,0.0003187766,0.01133207,0.0001043119,0.00001433333,0.0001635996,0.0001432396,0.0001011572,0.02255145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087062,"threshold_uncertainty_score":0.02161467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372317204459916,"score_gpt":0.2417726286307649,"score_spread":0.2280494565861658,"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."}}