{"id":"W4401559843","doi":"10.1016/j.jestch.2024.101799","title":"Development of an efficient design optimization strategy for thick-walled cylinders treated with combinations of autofrettage, shrink-fit and wire-winding processes","year":2024,"lang":"en","type":"article","venue":"Engineering Science and Technology an International Journal","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Gina Cody School of Engineering and Computer Science, Concordia University","keywords":"Autofrettage; Materials science; Structural engineering; Mechanical engineering; Engineering drawing; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004885877,0.0001039751,0.0001183682,0.000714957,0.000124697,0.0001106934,0.000214048,0.00005074712,0.000001536394],"category_scores_gemma":[0.00009882937,0.00008642388,0.000007106171,0.0004948418,0.0001957176,0.0004061226,0.00002286789,0.0000994561,6.253304e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005374795,"about_ca_system_score_gemma":0.0001582014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.186987e-7,"about_ca_topic_score_gemma":0.000001020533,"domain_scores_codex":[0.9992553,0.000003028005,0.0002075581,0.0001500631,0.0002307438,0.000153303],"domain_scores_gemma":[0.9994725,0.00003738846,0.00003667733,0.00005365035,0.0003522253,0.00004755628],"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":[0.000005710444,0.00002527591,0.00003456727,0.00007683985,0.00004617684,0.000003294719,0.0005415696,0.974497,0.02005267,0.00228694,8.035718e-7,0.002429181],"study_design_scores_gemma":[0.0002991814,0.0001574339,0.0004070154,0.0002216135,0.00001355589,0.00009031138,0.0003796636,0.9426033,0.05561778,0.00007181549,0.00002111572,0.0001171969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6466787,0.000168503,0.3527304,0.00003344315,0.0001490218,0.00008081752,0.000003308422,0.0001418258,0.00001389911],"genre_scores_gemma":[0.9135428,0.00007060837,0.08634219,8.666998e-7,0.00001432707,0.00001473055,0.000001426651,0.00001033435,0.000002720171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266864,"threshold_uncertainty_score":0.3524264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846487282731266,"score_gpt":0.2616976825802863,"score_spread":0.2432328097529736,"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."}}