{"id":"W4401382861","doi":"10.1080/2374068x.2024.2388414","title":"Effect of processing sequences in multi-pass friction stir processing on microstructure, microtexture and microhardness of 6063 aluminum alloy","year":2024,"lang":"en","type":"article","venue":"Advances in Materials and Processing Technologies","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Friction stir processing; Materials science; Indentation hardness; Microstructure; Electron backscatter diffraction; Friction stir welding; Metallurgy; Aluminium; Alloy; Severe plastic deformation; Composite material; Grain size; Vickers hardness test; Welding","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004276136,0.0003482526,0.0006455343,0.0005574655,0.00006565097,0.0001314867,0.0002289703,0.0003005106,0.000001594656],"category_scores_gemma":[0.00009684015,0.0002828682,0.00002972552,0.0007450596,0.0003577838,0.0007229529,0.00009723717,0.0002806004,1.411982e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006689093,"about_ca_system_score_gemma":0.00002338345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001521385,"about_ca_topic_score_gemma":0.00002047195,"domain_scores_codex":[0.9985031,0.00004500337,0.000566388,0.0004538083,0.0001317683,0.000299957],"domain_scores_gemma":[0.9995217,0.00008212605,0.0001758487,0.0001592711,0.00004454401,0.0000164528],"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":[0.00004878942,0.00001014557,0.0008049897,0.008320333,0.000006989024,0.00001145818,0.0002866863,0.001846239,0.6785608,0.00002416982,0.000001986398,0.3100774],"study_design_scores_gemma":[0.0002733477,0.0001546836,0.0003065169,0.005495473,0.00003561801,0.00002492713,0.0003606291,0.008654653,0.9811088,0.003061473,0.0002058391,0.000318015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228842,0.06942472,0.006289353,0.00003943702,0.000138353,0.000325012,0.00003094423,0.0008526511,0.00001530646],"genre_scores_gemma":[0.9653669,0.006208273,0.02827848,0.000003387057,0.00001285475,0.00007395519,0.000007646176,0.00004446068,0.000004049961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3097594,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006686114748335388,"score_gpt":0.2777589132379885,"score_spread":0.2710727984896531,"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."}}