{"id":"W4414555844","doi":"10.1007/s00170-025-16498-4","title":"Modeling and optimization of a hot forming process for friction stir-welded tailored blanks with an industrially suitable number of test specimens","year":2025,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Workflow; Automotive industry; Process (computing); Welding; Forming processes; Focus (optics); Work (physics); Process control; Work in process","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":[0.0002153738,0.0001063096,0.000217807,0.0003880945,0.00003588988,0.00001315071,0.0003168572,0.0001087075,0.000005493553],"category_scores_gemma":[0.0001552971,0.00008150272,0.00003111632,0.000124135,0.00004637326,0.0003524006,0.00003604414,0.0001962223,4.18738e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007278113,"about_ca_system_score_gemma":0.00003467717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004443005,"about_ca_topic_score_gemma":0.000005302802,"domain_scores_codex":[0.9991656,0.000005988417,0.0004598773,0.00008643883,0.0001768778,0.0001052442],"domain_scores_gemma":[0.9990963,0.0001089691,0.0002742706,0.0001171904,0.0003875222,0.00001574419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003130731,0.00002823725,0.0001230964,0.00004669925,0.0001059152,8.275052e-7,0.00008443079,0.9774867,0.0150599,0.001331656,0.00000274637,0.005416768],"study_design_scores_gemma":[0.0009354939,0.0002073803,0.00002627191,0.0002370696,0.0000417628,0.00003775944,0.0002884511,0.2741306,0.7040371,0.01995652,0.00002730512,0.00007423203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6835433,0.00002874469,0.3159568,0.00009449976,0.00009650416,0.0001572682,0.0000048396,0.00005847732,0.00005952125],"genre_scores_gemma":[0.9384879,0.00005413168,0.06137807,0.00000590665,0.00002813218,0.00001024516,0.000003960741,0.00001477329,0.00001688556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.703356,"threshold_uncertainty_score":0.3323584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350171535418602,"score_gpt":0.2821990261881908,"score_spread":0.2686973108340048,"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."}}