{"id":"W6945046506","doi":"10.22075/macs.2022.27206.1405","title":"Maximization of Fundamental Frequency of Composite Stiffened Hypar Shell with Cutout by Taguchi Method","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heritage College","funders":"","keywords":"Taguchi methods; Shell (structure); Parametric statistics; Composite number; Maximization; Finite element method; Vibration; Enhanced Data Rates for GSM Evolution; Degree (music)","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":[0.0004624709,0.0004598693,0.0004247409,0.0003165166,0.0001276174,0.0003846447,0.0003198186,0.0003978001,0.0007937045],"category_scores_gemma":[0.0006477251,0.0003012159,0.0003932853,0.0002543443,0.0002891292,0.0002737786,0.0002246649,0.0002454577,0.0001360672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000324182,"about_ca_system_score_gemma":0.0003190381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004837406,"about_ca_topic_score_gemma":0.001023872,"domain_scores_codex":[0.9997973,0.00003801836,0.000008262781,0.0000382121,0.00009323898,0.00002502598],"domain_scores_gemma":[0.999739,0.000152735,0.00005344168,0.00001065014,0.00003550944,0.000008651658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001302703,0.00004885071,0.001049063,0.0003629396,0.00002424567,0.0001073389,0.0001779579,0.2985055,0.6464304,0.004158768,0.0001765018,0.04882824],"study_design_scores_gemma":[0.00001630566,0.0002155471,0.001176522,0.00002298734,0.0000261591,0.00008971501,0.00003890939,0.8713077,0.1250003,0.001061643,0.001018282,0.00002595644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.176445,0.0003130412,0.8203434,0.00005118002,0.00001345916,0.00002980343,0.00003116874,0.0001381198,0.002634806],"genre_scores_gemma":[0.7226678,0.0003107232,0.2754532,0.00001477104,0.000005474429,0.0000705818,0.00003097402,0.00003560969,0.001410899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007937045,"threshold_uncertainty_score":0.002655149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359558140085696,"score_gpt":0.4918299669456981,"score_spread":0.3558741529371285,"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."}}