{"id":"W4389892068","doi":"10.1103/physrevmaterials.7.123603","title":"Effect of heat treatment paths on the aging and rejuvenation of metallic glasses","year":2023,"lang":"en","type":"article","venue":"Physical Review Materials","topic":"Metallic Glasses and Amorphous Alloys","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Basic Energy Sciences; Office of Science; Lawrence Livermore National Laboratory; University of Southern California; U.S. Department of Energy","keywords":"Annealing (glass); Rejuvenation; Materials science; Quenching (fluorescence); Annihilation; Thermodynamics; Nanotechnology; Composite material; Physics; Optics; Gerontology; Nuclear physics","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":[0.0001110761,0.000281405,0.000173386,0.0001218342,0.0001874675,0.0002258613,0.0001841313,0.0001528489,0.001251804],"category_scores_gemma":[0.0003584643,0.000142673,0.0001347539,0.0001084838,0.0002616674,0.0002798609,0.0001715447,0.0002732323,0.0001031468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446043,"about_ca_system_score_gemma":0.0001815389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008192877,"about_ca_topic_score_gemma":0.001727234,"domain_scores_codex":[0.9999285,0.000005873655,0.000004005347,0.00002411177,0.00001533062,0.00002211449],"domain_scores_gemma":[0.9998584,0.0000540267,0.00004089428,0.000013943,0.0000177171,0.00001497328],"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":[0.000217204,0.00002398201,0.0009044283,0.00009011415,0.00001069088,0.00004418537,0.00009135473,0.0009189645,0.9931399,0.000191067,0.00006632187,0.004301721],"study_design_scores_gemma":[0.00001072797,0.0002761063,0.006100235,0.000008516227,0.00002370149,0.00003568859,0.00003827341,0.002660989,0.989777,0.00004250689,0.001015135,0.00001097193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979321,0.0004907235,0.0009222907,0.00002856365,0.00001502886,0.00000907527,0.0000765917,0.00004626558,0.0004793976],"genre_scores_gemma":[0.9982405,0.0002606745,0.00098356,0.00001725305,0.000005208349,0.00001544012,0.00005475495,0.00003476177,0.0003879548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001251804,"threshold_uncertainty_score":0.004187763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768014817699127,"score_gpt":0.2874912529161131,"score_spread":0.2698111047391218,"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."}}