{"id":"W4309918491","doi":"10.1088/1361-665x/aca5d6","title":"Computational design and fabrication of active 3D-printed multi-state structures for shape morphing","year":2022,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Morphing; Computer science; Aerospace; Fabrication; Topology optimization; Mechanical engineering; Engineering; Artificial intelligence; Finite element method; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008948076,0.0001177497,0.000174513,0.00009112102,0.0001265392,0.00002665927,0.00006072759,0.00003401464,0.000124968],"category_scores_gemma":[0.00002885189,0.0001215351,0.00001272002,0.00004930281,0.00004600387,0.00006621129,0.00004904403,0.00005449569,6.807526e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002110741,"about_ca_system_score_gemma":0.000008306833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001025323,"about_ca_topic_score_gemma":6.271241e-7,"domain_scores_codex":[0.9994345,0.0000371252,0.0002012475,0.0001392171,0.00007100774,0.0001168617],"domain_scores_gemma":[0.9997253,0.00008505123,0.00005825971,0.00006310118,0.00004137628,0.00002695484],"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":[0.00004264533,0.000002186576,0.00006844855,0.00007508079,0.00004524017,3.547016e-7,0.0005798084,0.9382672,0.05838079,0.0009525658,0.00004041795,0.00154531],"study_design_scores_gemma":[0.0007501649,0.00005099719,0.03882762,0.000005915939,0.00002389142,0.00002333922,0.0001342813,0.8911603,0.0602269,0.008459099,0.000126517,0.0002109856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.670067,0.00009736833,0.3289372,0.00001228437,0.0003688426,0.0002512169,0.0001960876,0.00006664034,0.000003391059],"genre_scores_gemma":[0.8811584,0.00001337615,0.1186541,0.0000126272,0.00002394881,0.0000504708,0.00006052368,0.00002180665,0.000004727425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2110915,"threshold_uncertainty_score":0.4956059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145629588423007,"score_gpt":0.2343962890208921,"score_spread":0.2198333301785914,"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."}}