{"id":"W1811538059","doi":"10.2172/799244","title":"AISI/DOE Technology Roadmap Program: Removal of Residual Elements in The Steel Ladle by a Combination of Top Slag and Deep Injection Practice","year":2001,"lang":"en","type":"report","venue":"","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Slag (welding); Ladle; Metallurgy; Tonne; Tin; Solubility; Materials science; Smelting; Mill scale; Waste management; Chemistry; 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":[0.0008522563,0.0001869582,0.0003698042,0.0002286259,0.00002127682,0.00001768412,0.0001721898,0.0003963129,0.00002981293],"category_scores_gemma":[0.0003035554,0.0001385285,0.00003877515,0.0005329257,0.00005709736,0.0001183075,0.00004920009,0.000401789,7.310375e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007701708,"about_ca_system_score_gemma":0.00005499797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002981893,"about_ca_topic_score_gemma":0.0002256323,"domain_scores_codex":[0.9984803,0.0000526879,0.0006163725,0.0001989131,0.0004743624,0.0001773902],"domain_scores_gemma":[0.9990706,0.0000978079,0.0003103615,0.0002361301,0.0002655522,0.0000195073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002718985,0.00329325,0.0009290751,0.006777145,0.001225395,0.0002536436,0.0008940757,0.003496357,0.003544757,0.01724101,0.002184083,0.9598893],"study_design_scores_gemma":[0.00452271,0.003327848,0.001436856,0.0007994155,0.0008990356,0.003942402,0.005908123,0.2234275,0.001469422,0.01139772,0.7413113,0.001557738],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5067796,0.01152345,0.01030433,0.0004409778,0.0005318137,0.002762282,0.0000345651,0.0003873505,0.4672357],"genre_scores_gemma":[0.9901357,0.005503002,0.002863695,0.0000134293,0.00004073885,0.00009022782,0.000137936,0.00004765044,0.001167594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9583316,"threshold_uncertainty_score":0.5649027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125545508802983,"score_gpt":0.2861761538596127,"score_spread":0.2736216029793144,"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."}}