{"id":"W2594800424","doi":"10.1016/j.calphad.2017.02.002","title":"Thermodynamic modeling of the quaternary Al-Cu-Mg-Si system","year":2017,"lang":"en","type":"article","venue":"Calphad","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"CALPHAD; Phase diagram; Thermodynamics; Thermodynamic process; Formalism (music); Material properties; Materials science; Thermodynamic system; Phase (matter); Chemistry; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00007927304,0.0001386673,0.0001695628,0.00001940069,0.0001727786,0.00004989127,0.0006412557,0.00006857108,0.000007550775],"category_scores_gemma":[0.00001560811,0.00009117429,0.00008372033,0.00001995182,0.00009078155,0.000117358,0.0001338252,0.0001411529,0.00002262475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008039382,"about_ca_system_score_gemma":0.00001403198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000149989,"about_ca_topic_score_gemma":0.00002003391,"domain_scores_codex":[0.999356,0.00001633607,0.0001920019,0.0001247769,0.0001272906,0.0001835479],"domain_scores_gemma":[0.9990709,0.000007664535,0.00005922215,0.0007966105,0.00003523221,0.00003040104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002637596,0.0000100905,0.003936237,0.0006277187,0.0001818871,0.00001427466,0.00139495,0.07997085,0.9084289,0.0009602944,0.0004247232,0.004023688],"study_design_scores_gemma":[0.000155348,0.000005161401,0.001793143,0.0001476701,0.00001792481,0.00001506661,0.0000973671,0.9878988,0.009514521,0.00007129915,0.0001566488,0.0001270515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907005,0.0007374262,0.002523561,0.00007067103,0.0009082608,0.0001376841,0.000009805714,0.0001407387,0.004771329],"genre_scores_gemma":[0.9995593,0.00001464899,0.0001156448,0.00002217231,0.0000633979,0.000008304034,8.761557e-7,0.00004364554,0.0001720237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9079279,"threshold_uncertainty_score":0.371798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129097976722382,"score_gpt":0.2075320719519187,"score_spread":0.1946222742796805,"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."}}