{"id":"W2703562152","doi":"10.1299/jsmeoptis.2006.7.203","title":"123 Optimal Design of Flexible Structures utilizing Enumeration Algorithms for Rigid Framework","year":2006,"lang":"en","type":"article","venue":"The Proceedings of OPTIS","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Truss; Statically indeterminate; Nonlinear system; Bistability; Algorithm; Nonlinear programming; Computer science; Mechanism (biology); Bar (unit); Space (punctuation); Mathematical optimization; Mathematics; Structural engineering; 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":[0.0001782267,0.0001503406,0.0002037033,0.0001075542,0.00006836987,0.0000263859,0.0002159931,0.0001302215,0.00002470315],"category_scores_gemma":[0.00005782807,0.0001345029,0.00005408941,0.0002199023,0.00008019883,0.000187695,0.00002302348,0.0001288775,0.00000106998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002723221,"about_ca_system_score_gemma":0.000007861401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000798895,"about_ca_topic_score_gemma":8.871115e-8,"domain_scores_codex":[0.9992009,0.000002277414,0.0003204076,0.0001299541,0.000126864,0.0002195632],"domain_scores_gemma":[0.9995207,0.0001152912,0.00009797836,0.00008508227,0.0001583776,0.00002252741],"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":[0.00001474802,0.000007707575,0.00007622216,0.00009788078,0.0000414298,6.946711e-8,0.0003886054,0.9437483,0.01428432,0.04011603,0.00065806,0.0005666041],"study_design_scores_gemma":[0.0003014291,0.0000893619,0.0005735186,0.00006714067,0.00005700213,0.00001131555,0.0003497845,0.7425141,0.2460389,0.009546106,0.000230874,0.0002204724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04480477,0.0004912222,0.9526432,0.00004705932,0.0002877735,0.0004037594,0.00001590048,0.0002408678,0.001065403],"genre_scores_gemma":[0.5728786,0.00002088199,0.4268511,0.000003127513,0.0001115695,0.00004791145,0.000003188131,0.00003247678,0.00005119698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5280738,"threshold_uncertainty_score":0.5484871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779916149399011,"score_gpt":0.2440844636889281,"score_spread":0.2262853021949379,"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."}}