{"id":"W4308576172","doi":"10.3390/met12111906","title":"Influence of Hot Top Height on Macrosegregation and Material Yield in a Large-Size Cast Steel Ingot Using Modeling and Experimental Validation","year":2022,"lang":"en","type":"article","venue":"Metals","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Sorel-Tracy; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ingot; Liquidus; Materials science; Metallurgy; Shrinkage; Yield (engineering); Continuous casting; Flow (mathematics); Alloy; Mechanics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004399396,0.00008427074,0.0001486079,0.00007241408,0.0001525088,0.00006448349,0.00006746827,0.0000227162,0.0001799738],"category_scores_gemma":[0.0000412155,0.00008548231,0.0000124169,0.0001110377,0.00003479986,0.0002188559,0.00009317163,0.00004650625,0.000001189473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000519378,"about_ca_system_score_gemma":0.00001810021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100231,"about_ca_topic_score_gemma":0.000003404437,"domain_scores_codex":[0.9991019,0.0001025727,0.0002647234,0.0002129814,0.0001893094,0.0001284773],"domain_scores_gemma":[0.9996957,0.00003634747,0.0001101172,0.0001102979,0.00002062079,0.00002691702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000105668,0.00005290173,0.0002496218,0.0000143453,0.000001935569,7.749346e-7,0.001777536,0.02906124,0.9682709,0.0004445672,8.459079e-7,0.00001964582],"study_design_scores_gemma":[0.0004515905,0.00007651002,0.0007626844,0.00002005825,0.000006683005,0.00000787443,0.001312114,0.02278853,0.9743274,0.0001129945,0.00002452093,0.0001090568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993389,0.0000773412,0.0001782895,0.00002015253,0.00007661586,0.000195012,0.0000478073,0.00001366196,0.0000521924],"genre_scores_gemma":[0.9992265,0.000001804847,0.0005907227,0.00009147515,0.00001853666,0.0000363095,0.000005214621,0.00000830684,0.00002120824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006272707,"threshold_uncertainty_score":0.3485867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03763872883192945,"score_gpt":0.2844196028459519,"score_spread":0.2467808740140225,"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."}}