{"id":"W1611178421","doi":"10.82308/42076","title":"Modelliing of transport phenomena for improved steel quality in a delta shaped four strand tundish","year":2011,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundish; Ladle; Shroud; Water model; Continuous casting; Engineering; Mechanical engineering; Flow (mathematics); Mechanics; Slag (welding); Foundry; Metallurgy; Physical modelling; Fluent; Materials science; Computer simulation; Geotechnical engineering; Simulation; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001440452,0.0004277808,0.000337673,0.0003529482,0.0003704853,0.0006866663,0.0006442296,0.000779411,0.001436994],"category_scores_gemma":[0.0002817312,0.000271818,0.0006760512,0.0003025846,0.0003642331,0.0003464791,0.0002531684,0.0002824051,0.0001354347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285419,"about_ca_system_score_gemma":0.001073697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03343023,"about_ca_topic_score_gemma":0.02001442,"domain_scores_codex":[0.9999446,0.000009976977,0.000003383487,0.00001544811,0.00001346578,0.00001322935],"domain_scores_gemma":[0.9998797,0.00005300363,0.00002631192,0.000007917256,0.00002522266,0.000007747435],"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":[0.00003078114,0.00002708418,0.001967991,0.00002486764,0.000006497816,0.00009148112,0.00003442718,0.9865046,0.009540844,0.0002841237,0.00004478062,0.001442568],"study_design_scores_gemma":[0.000005030661,0.00003579192,0.0007519041,0.000001848035,0.000004292072,0.00001075032,0.00002066032,0.9971534,0.001843452,0.00003817617,0.0001303713,0.000004247152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676787,0.00008311995,0.02767205,0.00008106705,0.000009577789,0.00007698336,0.0002913101,0.0001319879,0.003975215],"genre_scores_gemma":[0.993094,0.0001067246,0.003844057,0.000007773409,0.000002036066,0.00005675366,0.0001093657,0.00001554439,0.002763874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03343023,"threshold_uncertainty_score":0.06647128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04851437802743561,"score_gpt":0.2346009815427161,"score_spread":0.1860866035152804,"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."}}