{"id":"W3209244549","doi":"10.3390/met10091244","title":"Assessing Microstructure-Local Mechanical Properties in Friction Stir Welded 6082-T6 Aluminum Alloy","year":2020,"lang":"en","type":"article","venue":"Metals","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Welding; Microstructure; Friction stir welding; Electron backscatter diffraction; Misorientation; Alloy; Grain size; Nanoindentation; Metallurgy; Ultimate tensile strength; Composite material; Aluminium; Grain boundary","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":[0.000204464,0.0002770662,0.0002420864,0.0006632626,0.000156356,0.000258207,0.0002004474,0.0002766589,0.0005276398],"category_scores_gemma":[0.0002114446,0.0001936732,0.0001525635,0.000326873,0.0002086564,0.000175762,0.0001134611,0.0001110949,0.0001364215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053003,"about_ca_system_score_gemma":0.00008874703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002077203,"about_ca_topic_score_gemma":0.004837107,"domain_scores_codex":[0.9998612,0.00001107862,0.00000811821,0.00003192817,0.00007103742,0.00001660462],"domain_scores_gemma":[0.9998562,0.00001517322,0.00004782041,0.00001141692,0.00005417972,0.00001508877],"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":[0.00006248208,0.00001221879,0.002335003,0.00004972578,0.000005545489,0.0000867933,0.00004914411,0.0003324669,0.9952696,0.0000121712,0.00001004138,0.001774709],"study_design_scores_gemma":[0.0000111853,0.0009157822,0.2695882,0.00001268426,0.0000429602,0.0004671251,0.0003196304,0.004298533,0.7231386,0.00004326223,0.001143695,0.00001825868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979153,0.000408916,0.001134801,0.0000036523,0.000003004177,0.00001019516,0.00006698739,0.00002698273,0.0004302132],"genre_scores_gemma":[0.99847,0.0001389632,0.0007815416,0.000006600939,0.000001558457,0.000006597415,0.00007938146,0.000008433315,0.0005068794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002077203,"threshold_uncertainty_score":0.004130244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103783566137743,"score_gpt":0.2573542120354907,"score_spread":0.2263163763741133,"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."}}