{"id":"W2040295697","doi":"10.1115/detc2012-70794","title":"Computational Efficiency and Accuracy Comparison of Leaf Spring Modelling Techniques","year":2012,"lang":"en","type":"article","venue":"","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Exploit; Computational model; Artificial neural network; Computational complexity theory; Spring (device); Leaf spring; Algorithm; Machine learning; 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":[0.0001323844,0.00005615045,0.00009561228,0.00007240195,0.0000266591,0.0000113406,0.00005088098,0.00003394363,0.00002314551],"category_scores_gemma":[0.00002270755,0.00005242472,0.00001511212,0.00009939149,0.0000128124,0.0001157019,0.00002198345,0.00009506702,0.000004479963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001012354,"about_ca_system_score_gemma":0.000003834614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001046191,"about_ca_topic_score_gemma":1.936409e-7,"domain_scores_codex":[0.9995325,0.000006048667,0.0001529366,0.00005064374,0.0001139161,0.0001439607],"domain_scores_gemma":[0.9997209,0.0001181157,0.000009067101,0.00006769264,0.00002247155,0.0000617385],"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":[7.611387e-7,0.00002248837,0.0002956523,0.00005492917,0.000005291425,3.026753e-8,0.00009004349,0.9814985,0.00252749,0.01068849,0.00003605302,0.004780261],"study_design_scores_gemma":[0.00003498253,0.00001073912,0.00006576368,0.0000131875,0.00000182558,6.3872e-7,0.0000214458,0.9684541,0.03097013,0.00008352918,0.0002865801,0.00005712612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1011015,0.0002831793,0.8967103,0.000009545374,0.00002717843,0.00005589575,8.261406e-7,0.0001870606,0.001624564],"genre_scores_gemma":[0.9228852,0.00001273157,0.07704184,0.000001791509,0.00003210029,0.000004711712,0.000001637847,0.000008953763,0.00001106811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8217837,"threshold_uncertainty_score":0.2137818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440425817612027,"score_gpt":0.3163777685141112,"score_spread":0.2719735103379909,"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."}}