{"id":"W4416226288","doi":"10.1016/j.engfailanal.2025.110322","title":"Microstructural evaluation and failure analysis of flow forming mandrels: Case studies","year":2025,"lang":"en","type":"article","venue":"Engineering Failure Analysis","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University","funders":"","keywords":"Metallography; Mandrel; Residual stress; Annealing (glass); Forming processes; Fracture toughness; Flow stress; Material flow; Surface integrity","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":[0.0004444839,0.0004998151,0.0003505201,0.001284826,0.0006195044,0.0002249942,0.0005250979,0.001163393,0.001542394],"category_scores_gemma":[0.0007034141,0.0002828689,0.0005716204,0.0004643066,0.0005334853,0.0002468515,0.000276861,0.0002101977,0.0002245437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000392443,"about_ca_system_score_gemma":0.0001299101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674393,"about_ca_topic_score_gemma":0.004491328,"domain_scores_codex":[0.9996768,0.00004048445,0.000023489,0.00006374744,0.0001267194,0.00006883039],"domain_scores_gemma":[0.9992387,0.0002854553,0.0001201589,0.0001338517,0.0001601873,0.00006163238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001557278,0.001216368,0.09821236,0.0007518478,0.0001357771,0.02485492,0.003705402,0.03807844,0.7705371,0.000777404,0.0009586035,0.05921455],"study_design_scores_gemma":[0.00004805026,0.01180205,0.3078156,0.00006667302,0.0001887474,0.03157093,0.001944534,0.04816336,0.5935714,0.0004305235,0.004237761,0.0001604114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99791,0.00007460831,0.001494436,0.000007456574,0.000002095493,0.0000259253,0.00008099699,0.00002364874,0.0003807846],"genre_scores_gemma":[0.9980386,0.00004915284,0.001387637,0.00000256246,0.000002250403,0.000007193446,0.00005768793,0.00000802144,0.000446873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001674393,"threshold_uncertainty_score":0.005159795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009697662741763759,"score_gpt":0.2807205122748231,"score_spread":0.2710228495330594,"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."}}