{"id":"W3184373963","doi":"10.1016/j.msea.2021.141764","title":"A novel two-step method to prepare fine-grained SiC/Al-Mg-Sc-Zr nanocomposite: Processing, microstructure and mechanical properties","year":2021,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Microstructure; Friction stir processing; Ductility (Earth science); Elongation; Nanocomposite; Composite material; Nanoparticle; Coalescence (physics); Metallurgy; Ultimate tensile strength; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001407567,0.0004158046,0.0003105498,0.0003946132,0.0003097659,0.0002295411,0.0004004958,0.000329337,0.001012241],"category_scores_gemma":[0.000137823,0.0002292727,0.0002689473,0.0002163967,0.0001885152,0.00029466,0.000293318,0.0007706184,0.0004437509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249573,"about_ca_system_score_gemma":0.0004270369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008279119,"about_ca_topic_score_gemma":0.003789111,"domain_scores_codex":[0.9998266,0.000009992139,0.00001207877,0.00004384587,0.00008411099,0.00002336427],"domain_scores_gemma":[0.9999176,0.00000956841,0.00002509281,0.00001376616,0.00001982271,0.00001407447],"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":[0.00002159696,0.00002420752,0.00007937349,0.00006121423,0.00000601412,0.00003572362,0.00001589331,0.00008191002,0.9964568,0.0001284989,0.0000752119,0.003013508],"study_design_scores_gemma":[0.00001612649,0.0001294797,0.001246565,0.000003122336,0.00001406818,0.0001722285,0.00001746094,0.001686504,0.9941258,0.00004186753,0.002533215,0.00001347243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869767,0.002559613,0.115094,0.0002432909,0.0002090118,0.000493459,0.0005186898,0.001453854,0.009661214],"genre_scores_gemma":[0.9477462,0.0005007483,0.04710406,0.00007136327,0.00002389062,0.0001197177,0.0002286357,0.00007884518,0.004126654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001012241,"threshold_uncertainty_score":0.003386259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107295181999605,"score_gpt":0.2244893643387857,"score_spread":0.2137598461388252,"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."}}