{"id":"W4400283277","doi":"10.33070/etars.2.2024.04","title":"IMPROVING THE TEMPERATURE IN THE METAL CONVERTER AGGREGATE, WITH USING OF THE MULTI-TIERED TUYERE","year":2024,"lang":"en","type":"article","venue":"Energy Technologies & Resource Saving","topic":"Electric Power Systems and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tuyere; Aggregate (composite); Materials science; Metallurgy; Thermodynamics; Blast furnace; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002833151,0.0002219406,0.0002244146,0.0001290777,0.0001429282,0.0001149332,0.0008261977,0.0001917537,0.000001711315],"category_scores_gemma":[0.000060418,0.00009502139,0.000101187,0.0009094852,0.0001474643,0.000066942,0.0001201877,0.0006400626,4.457415e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007738797,"about_ca_system_score_gemma":0.00003626559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004115575,"about_ca_topic_score_gemma":0.0003572489,"domain_scores_codex":[0.9988789,0.0000752253,0.0002539507,0.0002207695,0.0002236714,0.0003474981],"domain_scores_gemma":[0.999127,0.000145158,0.0000606862,0.0006381191,0.00001951555,0.000009573882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003438659,0.00005295094,0.001321769,0.0004114311,0.0006893068,0.0001842826,0.005624394,0.03179981,0.5186353,0.01244682,0.0007534245,0.4280462],"study_design_scores_gemma":[0.001088085,0.0001410026,0.000706784,0.001914858,0.0002339755,0.0004796481,0.02521617,0.7642187,0.1498613,0.0002422271,0.05501051,0.0008868049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374148,0.05130464,0.00714128,0.0008525276,0.0004142165,0.0004673034,0.00000929872,0.001513266,0.0008827168],"genre_scores_gemma":[0.999469,0.00003079344,0.0001535378,0.00004879355,0.0000388643,0.0000547143,6.191753e-7,0.00003989169,0.0001637735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7324189,"threshold_uncertainty_score":0.387486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005020915626286441,"score_gpt":0.1765293801264885,"score_spread":0.171508464500202,"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."}}