{"id":"W4406291881","doi":"10.1016/j.jajp.2025.100283","title":"Neutron diffraction analysis of residual stress distribution in the lubricant-free TR-AFSD AA7075 repair coupled with SPH simulations","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Joining Processes","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Oak Ridge National Laboratory; Strategic Environmental Research and Development Program; Office of Science; Baylor University","keywords":"Residual stress; Neutron diffraction; Lubricant; Materials science; Residual; Diffraction; Composite material; Physics; Optics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002199324,0.0001426055,0.0003818852,0.0003723908,0.00008185492,0.00003660358,0.0002644628,0.00006300308,0.000005506545],"category_scores_gemma":[0.0005439227,0.0000946267,0.00009028012,0.002058327,0.00004464235,0.0003322308,0.00002496586,0.0002948021,4.937851e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008163709,"about_ca_system_score_gemma":0.00008660956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002909165,"about_ca_topic_score_gemma":0.000369118,"domain_scores_codex":[0.9988186,0.00003742951,0.0005574457,0.0001167781,0.0003017527,0.0001679649],"domain_scores_gemma":[0.9985658,0.0004866538,0.0003442863,0.0002366193,0.0003398794,0.00002678394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001400246,0.00008228199,0.01148829,0.0002783924,0.0003133799,0.00001016618,0.0002236456,0.9856656,0.000937,0.00003524232,0.0003145029,0.0005114624],"study_design_scores_gemma":[0.002904261,0.00100198,0.8984767,0.004164596,0.003088106,0.00003178125,0.004296238,0.04650029,0.03467444,0.001226487,0.003017576,0.0006175087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875926,0.001397617,0.01021674,0.0003155647,0.00007206831,0.000131261,0.00005117984,0.00009736991,0.000125552],"genre_scores_gemma":[0.9962248,0.0006044817,0.003059802,0.00001459154,0.00004223257,0.000006871631,0.00002281658,0.00001111235,0.00001326585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9391653,"threshold_uncertainty_score":0.3858765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007457934942530715,"score_gpt":0.2574648921225127,"score_spread":0.2500069571799819,"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."}}