{"id":"W4402572424","doi":"10.23919/ccc63176.2024.10661566","title":"Modeling the dynamic deformation process of light-responsive liquid crystal elastomer actuator","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Actuator; Elastomer; Materials science; Deformation (meteorology); Process (computing); Mechanical engineering; Composite material; Optics; Computer science; Engineering; Artificial intelligence; Physics","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":[0.0001938101,0.00047799,0.0003337048,0.0002300902,0.0002202728,0.0003757378,0.0006199379,0.0008429342,0.0009166276],"category_scores_gemma":[0.0003003096,0.0002803221,0.0004786521,0.0001817114,0.0004647592,0.0006810926,0.0003414036,0.000450817,0.0002338025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000431973,"about_ca_system_score_gemma":0.0006267903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004876776,"about_ca_topic_score_gemma":0.003412106,"domain_scores_codex":[0.9998809,0.00001470569,0.000007590136,0.00003921942,0.00004057428,0.00001701043],"domain_scores_gemma":[0.999916,0.0000256087,0.00002564677,0.00001126998,0.00001639438,0.000005133348],"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":[0.00003678054,0.00005454257,0.0009187761,0.00009190398,0.0000141295,0.0001395657,0.00008207605,0.9173378,0.06772363,0.004447349,0.0002028475,0.008950708],"study_design_scores_gemma":[0.000001509803,0.000007517736,0.0001450298,0.000001393249,0.000001942386,0.000007653183,0.000003408933,0.997555,0.001905358,0.0002149593,0.0001527596,0.000003571294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1948201,0.0007105562,0.7900003,0.0003641989,0.0000615976,0.0001191319,0.000185798,0.0005186749,0.01321957],"genre_scores_gemma":[0.9728974,0.0005454199,0.01946552,0.00005179243,0.0000113165,0.0001469572,0.000104002,0.00004354187,0.006734025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004876776,"threshold_uncertainty_score":0.009696782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005158307649266161,"score_gpt":0.2326606722365252,"score_spread":0.2275023645872591,"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."}}