{"id":"W4393384113","doi":"10.1039/d3ma01148h","title":"Defect energetics in an high-entropy alloy fcc CoCrFeMnNi","year":2024,"lang":"en","type":"article","venue":"Materials Advances","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; China Scholarship Council; University of Toronto; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Compute Canada","keywords":"Energetics; Alloy; Materials science; Entropy (arrow of time); Statistical physics; Thermodynamics; Metallurgy; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001471983,0.0002251184,0.0003056727,0.0001108632,0.00003976911,0.0001554902,0.0001543995,0.00005213661,0.0002583861],"category_scores_gemma":[0.00002270393,0.0002016239,0.00003930298,0.0001613365,0.00004384345,0.0003909357,0.00004432888,0.00007768378,0.0001680517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008258962,"about_ca_system_score_gemma":0.000008108714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002560915,"about_ca_topic_score_gemma":0.0001300034,"domain_scores_codex":[0.9988538,0.00005736274,0.0003018358,0.0002632489,0.0001525281,0.000371226],"domain_scores_gemma":[0.9996576,0.00006519862,0.00001665126,0.0001904022,0.00001630255,0.00005388642],"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":[0.00002966808,0.00002881598,0.0003356478,0.0003873268,0.00006794062,0.0001465597,0.0003617053,0.03126435,0.9553955,0.009529227,0.001491382,0.0009618537],"study_design_scores_gemma":[0.0004880262,0.0001775498,0.001881613,0.0002755409,0.00005312765,0.00001149741,0.0001382391,0.003056097,0.7453955,0.003685134,0.2440453,0.0007923664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860689,0.008422425,0.000422218,0.0001193783,0.003758654,0.0001411484,0.00006490749,0.0007973747,0.0002049864],"genre_scores_gemma":[0.9944162,0.003207004,0.001800432,0.00004697292,0.0002945739,0.00006977686,0.00003174763,0.00006699569,0.00006631568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2425539,"threshold_uncertainty_score":0.8221986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006360646343773268,"score_gpt":0.2343067127270643,"score_spread":0.227946066383291,"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."}}