{"id":"W4409947492","doi":"10.3390/aerospace12050381","title":"Structural and Topological Optimization of a Novel Elephant Trunk Mechanism for Morphing Wing Applications","year":2025,"lang":"en","type":"article","venue":"Aerospace","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Morphing; Wing; Mechanism (biology); Elephant trunks; Computer science; Topology (electrical circuits); Engineering; Aerospace engineering; Physics; Computer graphics (images); Medicine; Electrical engineering","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":[0.00003770507,0.0000662364,0.0001074913,0.00002971323,0.00007368022,0.00001848005,0.00004599939,0.00005530909,0.000006729401],"category_scores_gemma":[0.00003836009,0.00006417395,0.00002281967,0.00008296095,0.00002054608,0.00007908191,0.00001396196,0.00004477433,1.677672e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590818,"about_ca_system_score_gemma":0.000007840168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004312191,"about_ca_topic_score_gemma":0.000007696854,"domain_scores_codex":[0.9996563,0.000003600499,0.0001180528,0.00009173435,0.00003800194,0.00009234949],"domain_scores_gemma":[0.9997574,0.00009008552,0.00002346921,0.00006717922,0.00004115809,0.00002070441],"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":[0.00001078642,0.000008858459,0.000054643,0.00006866494,0.00002936104,4.948721e-8,0.0001121997,0.5246018,0.06962865,0.404961,0.00004051415,0.0004834833],"study_design_scores_gemma":[0.0005419085,0.00001857021,0.0001678807,0.00001567537,0.0000231938,8.944466e-7,0.00009039065,0.9890162,0.008524065,0.0014821,0.00005467542,0.00006448578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04961521,0.00005865302,0.9494514,0.0002734064,0.00006798846,0.0002990244,0.00001260935,0.00008528979,0.0001363539],"genre_scores_gemma":[0.9323617,0.00001219519,0.06739662,0.00006112969,0.00002757612,0.00007495164,0.00000757896,0.000006175288,0.00005202718],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8827465,"threshold_uncertainty_score":0.2616938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242022142653794,"score_gpt":0.2377571922298871,"score_spread":0.2253369708033491,"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."}}