{"id":"W4386215788","doi":"10.32920/24043419","title":"Design and Analysis of Multi-Patch Composite Plates for a High Multi-Stability of a Morphing Skin","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Morphing; Composite number; Materials science; Stiffness; Composite material; Thermal stability; Aerospace; Composite laminates; Structural engineering; Computer science; Engineering; Aerospace engineering","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":[0.0001332956,0.000343557,0.000234699,0.0002505864,0.0001514842,0.0004970465,0.0003810706,0.0003921337,0.00134466],"category_scores_gemma":[0.0001325889,0.0001977742,0.0005117194,0.0001271904,0.0002538982,0.0001922042,0.0002397488,0.0002253312,0.0003559615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002374545,"about_ca_system_score_gemma":0.0003036454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006840553,"about_ca_topic_score_gemma":0.0005940248,"domain_scores_codex":[0.9999266,0.00001082442,0.000001891259,0.00001500224,0.00003686443,0.000008872532],"domain_scores_gemma":[0.9999281,0.00001428826,0.00001840685,0.00001090208,0.00002097971,0.000007294363],"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":[0.00007940706,0.00005499129,0.001042696,0.0002388595,0.00002891673,0.0003857726,0.00007684207,0.621274,0.3531815,0.007023449,0.0004621627,0.01615137],"study_design_scores_gemma":[0.000005957414,0.0001459299,0.0006165507,0.000008205769,0.00001153744,0.0000902093,0.00002904524,0.974643,0.02253532,0.0004565265,0.001448442,0.000009227411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3960406,0.0007280079,0.5725555,0.0001716077,0.00008292885,0.0001610099,0.0001068569,0.0004187033,0.02973471],"genre_scores_gemma":[0.952053,0.0002043311,0.04273051,0.00001325381,0.000006596082,0.00006419783,0.00002900647,0.00003085499,0.00486825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00134466,"threshold_uncertainty_score":0.004498303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05590542259414207,"score_gpt":0.2672989578493092,"score_spread":0.2113935352551671,"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."}}