{"id":"W4402438858","doi":"10.11159/icmie24.127","title":"A Static Analysis of Compression and Torsion of Kresling Origami Springs","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Torsion (gastropod); Computer science; Compression (physics); Torsion spring; Structural engineering; Materials science; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001010566,0.0001512698,0.0004105515,0.0002565688,0.00001953875,0.00004754923,0.0001286974,0.00005641195,0.00002131569],"category_scores_gemma":[0.00003641079,0.0001078687,0.00009801046,0.0005604263,0.00003571,0.00009671739,0.00009527237,0.00009584423,6.514554e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001744394,"about_ca_system_score_gemma":0.000002675984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008840702,"about_ca_topic_score_gemma":5.983052e-7,"domain_scores_codex":[0.9991655,0.000001822378,0.0003733437,0.0001727623,0.0001671412,0.0001193748],"domain_scores_gemma":[0.9996917,0.00004760502,0.000082189,0.00007326856,0.00005821737,0.00004701544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002321285,0.000006037556,0.00001844895,0.000968811,0.0002660172,1.439027e-7,0.00001894256,0.01070765,0.9832088,0.004464047,0.00004129429,0.0002766172],"study_design_scores_gemma":[0.00006906944,0.00001015205,0.00002867622,0.0004518563,0.0003036115,4.723128e-7,0.00001189618,0.3619695,0.6369253,0.00008653478,0.00007066994,0.00007218086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992895,0.00005955984,0.000041493,0.00002456508,0.0003794969,0.00008381926,0.0000182086,0.00006683614,0.00003657853],"genre_scores_gemma":[0.9977732,0.0001608148,0.001983328,0.000003906965,0.00003548214,0.000004809737,0.000003482559,0.00001937128,0.00001564308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3512619,"threshold_uncertainty_score":0.4398758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003802105504434103,"score_gpt":0.1912561554544073,"score_spread":0.1874540499499732,"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."}}