{"id":"W2021308754","doi":"10.1016/j.matdes.2014.01.060","title":"Optimizing the tensile properties of Al–Si–Cu–Mg 319-type alloys: Role of solution heat treatment","year":2014,"lang":"en","type":"article","venue":"Materials & Design (1980-2015)","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Research Council Canada","keywords":"Alloy; Materials science; Dissolution; Ultimate tensile strength; Phase (matter); Melting point; Copper; Metallurgy; Composite material; Chemistry; Physical chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005657949,0.0004175295,0.0006741284,0.00008165259,0.0001402119,0.0001036146,0.0003420399,0.0001639815,0.00008120307],"category_scores_gemma":[0.00006226312,0.0002656635,0.00009132538,0.0001226553,0.0002543325,0.0001982525,0.0000909801,0.00008200175,0.00005924373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479238,"about_ca_system_score_gemma":0.00006768938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007686423,"about_ca_topic_score_gemma":0.00002522622,"domain_scores_codex":[0.9980224,0.0002748425,0.0006731728,0.0002955713,0.0002629734,0.0004709816],"domain_scores_gemma":[0.998933,0.00006273012,0.0001355209,0.0006206885,0.000183,0.00006511266],"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":[0.0001524433,0.00003323904,0.00003969221,0.0001261122,0.0001493965,8.018469e-7,0.002823581,0.01372689,0.9817272,0.00004776672,0.0006641437,0.0005087819],"study_design_scores_gemma":[0.0004541151,0.000371294,0.0001302193,0.000154385,0.0001172696,0.00001749784,0.0002587725,0.01041574,0.9845662,0.00007189473,0.00314445,0.0002981627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910299,0.004597893,0.00212596,0.0001605289,0.0008485516,0.0008381522,0.00002430717,0.000255117,0.0001196118],"genre_scores_gemma":[0.992873,0.0001706691,0.006444001,0.00005534196,0.0001410756,0.00007338505,0.00001558663,0.0001061858,0.0001207624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004427223,"threshold_uncertainty_score":0.9999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207425607417599,"score_gpt":0.2073999353330055,"score_spread":0.1866573745912457,"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."}}