{"id":"W4362584266","doi":"10.1007/s40194-023-01508-4","title":"Friction stir processing/transient liquid phase bonding (FSP/TLP) of AISI304 stainless steel","year":2023,"lang":"en","type":"article","venue":"Welding in the World","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Razi University","keywords":"Materials science; Microstructure; Friction stir processing; Eutectic system; Friction stir welding; Metallurgy; Joint (building); Welding; Composite material; Dynamic recrystallization; Structural engineering; Hot working","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":[0.0007782739,0.0002103888,0.0002972727,0.0007833098,0.0001177512,0.00003901236,0.0003959644,0.00006460751,0.00002420919],"category_scores_gemma":[0.00004625762,0.0001847618,0.0001066396,0.002969559,0.00004579974,0.0001986569,0.00004941057,0.0003460114,0.000009495233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532327,"about_ca_system_score_gemma":0.00001377721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001946245,"about_ca_topic_score_gemma":0.00007424923,"domain_scores_codex":[0.9985045,0.00005139487,0.0004596985,0.0002439917,0.0003318167,0.0004086512],"domain_scores_gemma":[0.9992897,0.0001578562,0.00009729632,0.0003719676,0.00004011643,0.00004304232],"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":[0.0001033596,0.0001428937,0.0004053841,0.0005881462,0.00007828621,0.00006028455,0.00423041,0.9081066,0.06584166,0.004321862,0.005368437,0.01075271],"study_design_scores_gemma":[0.00252153,0.0004422081,0.00105761,0.002258867,0.0003232178,0.00002035424,0.004939875,0.6477309,0.2681459,0.005942328,0.06504829,0.001568896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247788,0.0004289702,0.06557871,0.0005508199,0.0002778743,0.0004832993,0.00001839909,0.001811898,0.006071231],"genre_scores_gemma":[0.9968003,0.00007581399,0.002520299,0.00003627935,0.00007752452,0.00008039644,0.00001578544,0.00005780709,0.0003357821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2603756,"threshold_uncertainty_score":0.7534369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946659958544867,"score_gpt":0.2983072775069507,"score_spread":0.2788406779215021,"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."}}