{"id":"W4416659800","doi":"10.1088/1361-651x/ae23ee","title":"Three-roll four-stand hot longitudinal rolling of superelastic Ti-Zr-Nb alloy bars for orthopedic implants: finite element modeling and experimental study","year":2025,"lang":"","type":"article","venue":"Modelling and Simulation in Materials Science and Engineering","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Russian Science Foundation","keywords":"Finite element method; Alloy; Ultimate tensile strength; Anisotropy; Microstructure; Deformation (meteorology); Bar (unit)","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":[0.000459404,0.0004110544,0.0005358967,0.000350604,0.0002179549,0.0003698602,0.0007799069,0.0006737633,0.001680262],"category_scores_gemma":[0.0003854952,0.0003403735,0.0004465454,0.0002730929,0.0003425473,0.0002332081,0.0002254116,0.0002088084,0.0003209429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003197372,"about_ca_system_score_gemma":0.0003712819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689453,"about_ca_topic_score_gemma":0.002733456,"domain_scores_codex":[0.9997912,0.00002074962,0.00001005589,0.0000296016,0.0001160777,0.00003235132],"domain_scores_gemma":[0.9996616,0.00009477392,0.00009516093,0.00007378608,0.00005825104,0.00001633357],"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":[0.0004328145,0.0003250368,0.0034472,0.0003341405,0.00003477296,0.000287374,0.0002328788,0.2725904,0.702899,0.0005374065,0.0002670961,0.01861184],"study_design_scores_gemma":[0.00003011384,0.00115702,0.01033653,0.00001484832,0.00004058618,0.0001101925,0.0001042974,0.7280608,0.2586676,0.0001067558,0.001330571,0.0000405981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781315,0.0001755675,0.01961872,0.0000326624,0.0000143795,0.00005678601,0.0001925002,0.0002617103,0.001516246],"genre_scores_gemma":[0.9889606,0.00007010639,0.01003002,0.000004611396,0.000002131671,0.00003134706,0.00007746199,0.00001828604,0.0008054715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001689453,"threshold_uncertainty_score":0.005621016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04141134434040981,"score_gpt":0.2754749970647792,"score_spread":0.2340636527243694,"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."}}