{"id":"W2050672307","doi":"10.4028/www.scientific.net/msf.783-786.1753","title":"Friction Stir Welding of Carbon Steel for Application in Used Fuel Containers","year":2014,"lang":"en","type":"article","venue":"Materials science forum","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization","funders":"Nuclear Waste Management Organization","keywords":"Metallography; Welding; Materials science; Friction stir welding; Metallurgy; Composite material; Joint (building); Microstructure; Structural engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004229407,0.0003440631,0.0002788183,0.0004840991,0.0004043211,0.0004244045,0.0006758184,0.0004748677,0.001169963],"category_scores_gemma":[0.0005504605,0.0001869591,0.0003062384,0.000450692,0.0002278953,0.0003895866,0.0002860727,0.0002013354,0.0004411204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870686,"about_ca_system_score_gemma":0.000707282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002226609,"about_ca_topic_score_gemma":0.005968343,"domain_scores_codex":[0.9996953,0.00002207125,0.00001434647,0.00004589442,0.0001738898,0.0000485451],"domain_scores_gemma":[0.9996723,0.00003525078,0.00007037731,0.00004169289,0.0001443863,0.0000358863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001602265,0.00002983899,0.000608237,0.0001685384,0.00000568826,0.00029682,0.00005657868,0.001074557,0.9834046,0.0002391003,0.0002273648,0.01372844],"study_design_scores_gemma":[0.000008521825,0.0006223028,0.002847897,0.00001601986,0.000006565097,0.0002701169,0.00005749114,0.002785956,0.9891269,0.00004471799,0.004201985,0.00001157191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562452,0.002026255,0.03245039,0.000118637,0.00007703991,0.0002155219,0.0001481211,0.0005260683,0.008192633],"genre_scores_gemma":[0.9757569,0.0004357124,0.02041022,0.00002010922,0.000003390701,0.00002895739,0.00009276701,0.00004413534,0.003207681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002226609,"threshold_uncertainty_score":0.004985034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808206196695272,"score_gpt":0.2456773267253511,"score_spread":0.2375952647583984,"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."}}