{"id":"W4386215869","doi":"10.32920/24043416.v1","title":"Design and Analysis of a Hybrid Segmented Sliding Panel Morphing Skin System","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; Discretization; Kinematics; Mechanism (biology); Nonlinear system; Computer science; Mathematics; Mathematical analysis; Physics; Artificial intelligence; Classical mechanics","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":[0.0001446029,0.0002591326,0.0003800303,0.0002088556,0.0003598756,0.0005202077,0.0005918291,0.0004450862,0.004934156],"category_scores_gemma":[0.000169757,0.0001905392,0.0003994653,0.0001177593,0.0002921255,0.0003879592,0.0005765977,0.0002502595,0.00057329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241662,"about_ca_system_score_gemma":0.0003362105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173558,"about_ca_topic_score_gemma":0.0007639484,"domain_scores_codex":[0.9998835,0.0000177407,0.00000482497,0.00003037285,0.00004590355,0.0000176284],"domain_scores_gemma":[0.9999207,0.0000161923,0.0000166113,0.00001178652,0.00002253041,0.00001214019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002132122,0.00007210704,0.001749018,0.0002324873,0.00005667087,0.0006946885,0.0002292978,0.7210177,0.1761406,0.01512628,0.001411293,0.08305675],"study_design_scores_gemma":[0.000007465399,0.0001139924,0.0002644068,0.000004859894,0.000008218599,0.00005133608,0.00001760299,0.9941667,0.003509772,0.0003840925,0.001465983,0.000005590056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1261948,0.000300371,0.8484398,0.0001830249,0.00008281969,0.0001534674,0.00007478119,0.0007936694,0.02377726],"genre_scores_gemma":[0.9563728,0.0001214029,0.03773513,0.00003644334,0.00001140809,0.0000884355,0.00003912139,0.00002787062,0.005567333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004934156,"threshold_uncertainty_score":0.01650643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053565817001827,"score_gpt":0.2209832105336688,"score_spread":0.1804475523636505,"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."}}