{"id":"W4401328099","doi":"10.1016/j.msea.2024.147073","title":"Tuning mechanical behavior of an FCC high entropy alloy: Insights from roll deformation and texture","year":2024,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Alloy; High entropy alloys; Materials science; Deformation (meteorology); Metallurgy; Texture (cosmology); Composite material; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001644812,0.0001403708,0.0001908752,0.0001470898,0.0000659123,0.0002436138,0.0001064805,0.00005574818,0.00001184814],"category_scores_gemma":[0.00002994495,0.0001185801,0.00001082105,0.0001921261,0.00006570441,0.000750474,0.00006494878,0.0000662942,0.00000378236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004309809,"about_ca_system_score_gemma":0.00001283407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006896174,"about_ca_topic_score_gemma":0.000004146618,"domain_scores_codex":[0.9991927,0.000007361524,0.0001962279,0.0001944615,0.0002101149,0.0001992072],"domain_scores_gemma":[0.9997324,0.00002474628,0.00001347419,0.0001159351,0.00003016882,0.00008330019],"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":[0.000002421427,0.000004344048,0.000006644254,0.00008549314,0.0000106761,0.000007938387,0.0006219001,0.00230422,0.9939886,0.00263286,0.0000063581,0.000328576],"study_design_scores_gemma":[0.0001912654,0.00007531539,0.00519473,0.0001798028,0.00005365205,0.0000183035,0.0001004688,0.1891515,0.8041661,0.0002426702,0.0003541043,0.00027213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967033,0.0004773832,0.001662918,0.0000160022,0.0007103953,0.00009438927,0.00003131442,0.0002940242,0.0000103288],"genre_scores_gemma":[0.9976039,0.0001061033,0.002139145,0.000005277458,0.00009380292,0.00002028764,0.000009005613,0.00001971836,0.000002778053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1898225,"threshold_uncertainty_score":0.4835555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0054839352523673,"score_gpt":0.1949801344639802,"score_spread":0.1894961992116129,"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."}}