{"id":"W2156333014","doi":"10.1179/1743281212y.0000000003","title":"Effect of flow modifiers on liquid metal cleanliness in four-strand delta shaped billet caster tundish","year":2012,"lang":"en","type":"article","venue":"Ironmaking & Steelmaking Processes Products and Applications","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tundish; Caster; Residual; Water model; Engineering; Flow (mathematics); Continuous casting; Metallurgy; Liquid steel; Mechanical engineering; Materials science; Mechanics; Mathematics; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003104213,0.0003967792,0.0005588026,0.0004510025,0.000328756,0.0006826538,0.0005510432,0.0004953383,0.001046458],"category_scores_gemma":[0.0005421495,0.0002429235,0.0005188272,0.0003106881,0.0004377484,0.000315387,0.0002987264,0.0002198548,0.0001461694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008410789,"about_ca_system_score_gemma":0.0005408932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01324947,"about_ca_topic_score_gemma":0.01391359,"domain_scores_codex":[0.9998778,0.00002251299,0.000007609944,0.00002855679,0.00003086713,0.00003256775],"domain_scores_gemma":[0.9997196,0.0001350009,0.0000790289,0.00001397787,0.00003841293,0.00001410806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000620474,0.0002630105,0.007532206,0.0001791887,0.00003390331,0.0002499012,0.00011411,0.7841789,0.1966961,0.0003668145,0.00006927246,0.009696077],"study_design_scores_gemma":[0.00005671966,0.001523799,0.004973216,0.00001355406,0.00007751431,0.0000386536,0.0001809222,0.7957655,0.1967531,0.00009566146,0.0004801887,0.00004117595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982175,0.00003838369,0.001176444,0.00001087983,0.000001761685,0.000009967956,0.00004125678,0.00001510379,0.0004885524],"genre_scores_gemma":[0.9980051,0.00007236604,0.001301148,0.000003031297,4.980114e-7,0.0000102267,0.00002668046,0.000003487501,0.0005774867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01324947,"threshold_uncertainty_score":0.02634466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599515559316522,"score_gpt":0.2465907611232059,"score_spread":0.2305956055300407,"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."}}