{"id":"W4406417936","doi":"10.1016/j.pmatsci.2025.101429","title":"Accelerated discovery of nanostructured high-entropy alloys and multicomponent alloys via high-throughput strategies","year":2025,"lang":"en","type":"article","venue":"Progress in Materials Science","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; High entropy alloys; Throughput; Nanotechnology; Metallurgy; Computer science; Microstructure","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":[0.001488687,0.0007572518,0.001172124,0.001371829,0.0005168668,0.001799247,0.00109975,0.001041528,0.00251014],"category_scores_gemma":[0.001495997,0.0006134395,0.001225803,0.001008797,0.0006478927,0.002009962,0.001543859,0.001734941,0.001301326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007542964,"about_ca_system_score_gemma":0.0007295336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006473178,"about_ca_topic_score_gemma":0.001943154,"domain_scores_codex":[0.9991766,0.000112979,0.00005547783,0.0001764293,0.0003820191,0.00009647496],"domain_scores_gemma":[0.9994523,0.0001844823,0.00008559543,0.00008002108,0.0001459044,0.00005164549],"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":[0.0002817272,0.000359385,0.003086239,0.005352298,0.0003496298,0.0009776439,0.0005386555,0.01130151,0.7276117,0.03979471,0.01099236,0.1993541],"study_design_scores_gemma":[0.0001032264,0.0006251317,0.002483144,0.0003522273,0.0002699892,0.0009064089,0.0003363301,0.0508913,0.7938902,0.01273601,0.1372721,0.0001338072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2884691,0.1565913,0.4958407,0.003917759,0.001548656,0.001242218,0.00407691,0.005882293,0.04243113],"genre_scores_gemma":[0.6164638,0.09341934,0.2690065,0.001321386,0.000348677,0.00117861,0.0042838,0.0004993554,0.01347845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00251014,"threshold_uncertainty_score":0.008397222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008708456987658734,"score_gpt":0.2546125626396734,"score_spread":0.2459041056520147,"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."}}