{"id":"W4365813691","doi":"10.1016/j.matchar.2023.112927","title":"Microstructure and mechanical properties of novel Al–Cu–Mg–Zn lightweight entropy alloys for elevated-temperature applications","year":2023,"lang":"en","type":"article","venue":"Materials Characterization","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Microstructure; Intermetallic; Alloy; Thermal stability; Volume fraction; High entropy alloys; Transmission electron microscopy; Scanning electron microscope; Metallurgy; Composite material; Chemical engineering; Nanotechnology","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":[0.00008929482,0.0001063731,0.0001166715,0.0002668198,0.0001972828,0.000230147,0.0002388901,0.0001669688,0.0006319887],"category_scores_gemma":[0.0001520586,0.0001182281,0.00009908487,0.0001977282,0.0001754333,0.0001637841,0.0001073505,0.0001012729,0.0001261946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003251449,"about_ca_system_score_gemma":0.0001858524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901829,"about_ca_topic_score_gemma":0.004661639,"domain_scores_codex":[0.9999379,0.000003703174,0.000003441765,0.00001174991,0.00003442108,0.000008745761],"domain_scores_gemma":[0.9999106,0.000007009327,0.00002487531,0.000006961974,0.00003862151,0.0000118973],"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":[0.0000938451,0.00001079705,0.000647054,0.0000237266,0.000003100844,0.00003621582,0.00002288706,0.0003934549,0.9975786,0.0001308214,0.00005146875,0.001008158],"study_design_scores_gemma":[0.00002578592,0.0004033728,0.04210084,0.000006118313,0.00002755483,0.0001701136,0.0001108885,0.01125565,0.9433954,0.0001002116,0.002390508,0.00001360804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986573,0.0001819253,0.0004710054,0.00001137372,0.000006635861,0.000003950349,0.00005040323,0.00001356317,0.0006036707],"genre_scores_gemma":[0.9987413,0.00004814747,0.0004689929,0.000003282942,0.000003261727,0.000003408764,0.00004982253,0.000005597365,0.0006761299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001901829,"threshold_uncertainty_score":0.003781497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129747288956354,"score_gpt":0.208449753039099,"score_spread":0.1971522801495355,"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."}}