{"id":"W4390226793","doi":"10.1016/j.ijfatigue.2023.108125","title":"Enhancing the fatigue property of high entropy alloy by regulating characteristics of grains and precipitates","year":2023,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Materials science; Microstructure; Alloy; Fatigue limit; Ultimate tensile strength; High entropy alloys; Annealing (glass); Metallurgy; Precipitation hardening; Grain size; Composite material","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":[0.0000541928,0.0001389241,0.0001335745,0.0001252176,0.0001093171,0.0002197251,0.0001421511,0.0001587557,0.0007858834],"category_scores_gemma":[0.0001182798,0.00009818737,0.0001041755,0.00007500027,0.0001270662,0.0002470467,0.0001211847,0.0001286504,0.0001151848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362373,"about_ca_system_score_gemma":0.0001221101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003030283,"about_ca_topic_score_gemma":0.0007694209,"domain_scores_codex":[0.9999745,0.000001830692,0.000001429168,0.000005686279,0.000009659754,0.000006889886],"domain_scores_gemma":[0.9999462,0.000008237471,0.00001803003,0.000003751663,0.00001422215,0.000009528816],"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":[0.00005565416,0.000012125,0.0002939577,0.00001784467,0.000001915731,0.00001105978,0.000008250453,0.0003187055,0.9979267,0.0001344384,0.00001181797,0.001207467],"study_design_scores_gemma":[0.00001605062,0.0002545221,0.006329445,0.000002467953,0.0000145445,0.00005004263,0.00001982686,0.01048173,0.9819117,0.0001430584,0.0007685621,0.000008123344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942965,0.000263085,0.004380396,0.00002250954,0.00001126618,0.000007737869,0.00002412672,0.00003508272,0.0009592995],"genre_scores_gemma":[0.9983395,0.00008344102,0.001070282,0.000007831016,0.000004505456,0.000003952988,0.00001648763,0.000008321394,0.0004655813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007858834,"threshold_uncertainty_score":0.002629042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848242197194032,"score_gpt":0.2547645020542414,"score_spread":0.2362820800823011,"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."}}