{"id":"W4388486908","doi":"10.1016/j.matlet.2023.135548","title":"Impact of intermediate aging on the evolution of microstructure and intermetallics in thermomechanically processed Al-Cu-Mg alloy","year":2023,"lang":"en","type":"article","venue":"Materials Letters","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Intermetallic; Materials science; Microstructure; Alloy; Nucleation; Volume fraction; Metallurgy; Diffusion; Thermomechanical processing; Aluminium; Kinetics; Chemical engineering; Thermodynamics; 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":[0.0001661118,0.000184089,0.0002174414,0.0002308626,0.0002790361,0.0003699645,0.0002079322,0.0002813141,0.001465234],"category_scores_gemma":[0.0004580223,0.0001534816,0.0001483547,0.0001885753,0.000341524,0.000335014,0.0001874897,0.0002163253,0.0001640431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133315,"about_ca_system_score_gemma":0.0002506834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002614285,"about_ca_topic_score_gemma":0.003670441,"domain_scores_codex":[0.9998913,0.00001034951,0.000006471609,0.00002527204,0.00003590122,0.00003073091],"domain_scores_gemma":[0.999772,0.00003834197,0.00005460865,0.00002750799,0.00007895883,0.00002857579],"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":[0.001084171,0.00007014645,0.007228558,0.00006349685,0.00002512272,0.0003604446,0.0001630822,0.001943,0.9833198,0.0002601442,0.0001878587,0.00529418],"study_design_scores_gemma":[0.0000198082,0.0008689564,0.08200348,0.0000125588,0.00005204813,0.0001656345,0.0002942587,0.01057235,0.9044504,0.0001275353,0.001405085,0.00002780985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988715,0.0002723557,0.0002590299,0.00001631095,0.0000127294,0.000003064578,0.00006840406,0.00002621564,0.0004703004],"genre_scores_gemma":[0.9996268,0.00003744191,0.00008929168,0.000008227923,0.000002398411,0.000001665802,0.00003686986,0.000007020569,0.0001902534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002614285,"threshold_uncertainty_score":0.005198061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007084804188375835,"score_gpt":0.2138507472010207,"score_spread":0.2067659430126448,"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."}}