{"id":"W4237159913","doi":"10.32920/ryerson.14665278.v1","title":"Conceptual Design Of A Modular Morphing Wing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Morphing; Modular design; Kinematics; Truss; Wing; Modularity (biology); Computer science; Mechanism (biology); Parametric statistics; Engineering; Structural engineering; Mathematics; Artificial intelligence","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":[0.0002682705,0.0003286955,0.0002318959,0.0002946269,0.0003082285,0.0005652895,0.000678355,0.0004161851,0.0058278],"category_scores_gemma":[0.0002502836,0.0002527461,0.0003459113,0.0001317939,0.0005245486,0.0005293231,0.000638879,0.0004090957,0.0008279012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264189,"about_ca_system_score_gemma":0.0004095479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003502804,"about_ca_topic_score_gemma":0.0004282156,"domain_scores_codex":[0.9998307,0.00002334697,0.000008151958,0.00003442527,0.00008893559,0.00001440681],"domain_scores_gemma":[0.9999267,0.00001327185,0.00001149195,0.00001717107,0.00002316059,0.000008343132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007121284,0.00005403938,0.0008679298,0.0005855105,0.00003625895,0.0004961248,0.0005238754,0.2773254,0.1833995,0.3644367,0.002060159,0.1701433],"study_design_scores_gemma":[0.00008771635,0.000602073,0.001108082,0.0001302033,0.00005456799,0.000863858,0.0002039081,0.7600158,0.05388431,0.05142504,0.1315692,0.00005531969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01447486,0.00009904281,0.9731056,0.00006269637,0.00004178359,0.0001014273,0.00003875507,0.0002732509,0.01180265],"genre_scores_gemma":[0.3283757,0.000266668,0.6566342,0.00005096305,0.00002055801,0.0002670788,0.0000754013,0.00009829064,0.01421111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0058278,"threshold_uncertainty_score":0.01949596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06546419877327736,"score_gpt":0.2710468263101201,"score_spread":0.2055826275368428,"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."}}