{"id":"W976720884","doi":"10.1007/s00231-015-1595-2","title":"A computational study of low-head direct chill slab casting of aluminum alloy AA2024","year":2015,"lang":"en","type":"article","venue":"Heat and Mass Transfer","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Casting; Slab; Head (geology); Alloy; Heat transfer coefficient; Caster; Aluminium; Heat transfer; Computational fluid dynamics; Mold; Steady state (chemistry); Cooling curve; Metallurgy; Composite material; Mechanics; Structural engineering","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":[0.0001049317,0.0001475134,0.0002783327,0.00006626646,0.00002242256,0.00001027229,0.00006575163,0.00005366948,0.000016537],"category_scores_gemma":[0.00000751679,0.0001284498,0.00003430747,0.0000938618,0.00005896522,0.00007651743,0.00001149304,0.00009632961,0.000001475766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000193059,"about_ca_system_score_gemma":0.00002226516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000983272,"about_ca_topic_score_gemma":0.00009844064,"domain_scores_codex":[0.9992261,0.00002501294,0.0002707272,0.0001413562,0.0001819202,0.0001549065],"domain_scores_gemma":[0.9997194,0.00003280275,0.000005874804,0.00009572045,0.00007791324,0.00006824519],"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":[0.0004013773,0.0004266698,0.04509393,0.002010305,0.0008689227,0.00004288743,0.07340504,0.3689068,0.5042562,0.0001549664,0.0006201696,0.00381272],"study_design_scores_gemma":[0.02710647,0.005124027,0.08681871,0.001497013,0.001036741,0.0002750733,0.02025323,0.4244447,0.4247421,0.001139884,0.004243732,0.003318351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965925,0.000838795,0.0009633693,0.00001530325,0.0001511823,0.0002460943,0.00002472747,0.00006414166,0.001103884],"genre_scores_gemma":[0.999377,0.00001120525,0.0004834413,0.000008064303,0.00003448384,0.000008331629,0.000006411197,0.00002948709,0.00004158392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07951408,"threshold_uncertainty_score":0.5238031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871079371105734,"score_gpt":0.2205873115638704,"score_spread":0.201876517852813,"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."}}