{"id":"W2068202989","doi":"10.4028/www.scientific.net/amr.900.72","title":"Simulation and Optimization of Flow Field in the Mold of Slab Continuous Casting","year":2014,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Breakout; Slab; Nozzle; Mold; Continuous casting; Flow (mathematics); Materials science; Casting; Field (mathematics); Water model; Mechanical engineering; Engineering drawing; Mechanics; Structural engineering; Engineering; Metallurgy; Composite material; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006616845,0.0000413115,0.0001229106,0.00004816028,0.00001632725,0.00001201996,0.000070506,0.00003457124,0.00003684599],"category_scores_gemma":[0.0004586371,0.00003005427,0.000006729431,0.0001191987,0.00002246751,0.00006295959,0.00001998285,0.00005537465,4.400929e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004738449,"about_ca_system_score_gemma":0.000002572224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001883734,"about_ca_topic_score_gemma":0.000004525484,"domain_scores_codex":[0.9994544,0.00007655712,0.0001748032,0.00006140038,0.0001294409,0.0001033602],"domain_scores_gemma":[0.9991749,0.000626909,0.00002413274,0.00009284112,0.00007045823,0.000010787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002044071,0.000005123752,0.000004306936,0.0001699825,0.000001997091,3.326969e-7,0.00009144528,0.909541,0.08564942,0.0004545597,3.236826e-7,0.004061105],"study_design_scores_gemma":[0.0001694233,0.00005119753,0.00005024247,0.00003938688,0.000001265397,3.658591e-7,0.0000408563,0.9712495,0.02746763,0.0008727888,0.00002806391,0.00002925592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8373758,0.00007331181,0.161685,0.00001411807,0.00003466925,0.0001276393,0.000003126467,0.000008272734,0.0006780288],"genre_scores_gemma":[0.9962519,0.00005094124,0.003654823,0.000003441305,0.00001524042,0.000006615591,0.000003852716,0.000007533528,0.000005608999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588761,"threshold_uncertainty_score":0.1225578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744266469029846,"score_gpt":0.3213652442599662,"score_spread":0.2939225795696677,"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."}}